Methods, devices, and computer-program products are provided for adding data to a digital video signal in a visually imperceptible manner. For example, a region of pixels can be identified in a video frame, and one or more pixel characteristics of the region of pixels can be determined. Based on the one or more pixel characteristics of the region of pixels, at least one pixel characteristic of a subset of pixels from the region of pixels can be modified in order to encode a set of data into the region of pixels. An output frame can be provided that includes the modified at least one pixel characteristics for the subset of pixels.
H04N 5/913 - Television signal processing therefor for scrambling
H04N 19/467 - Embedding additional information in the video signal during the compression process characterised by the embedded information being invisible, e.g. watermarking
2.
DYNAMIC CONTENT SERVING USING AUTOMATED CONTENT RECOGNITION (ACR) AND DIGITAL MEDIA WATERMARKS
Methods, systems, devices, and computer-program products are described herein for providing dynamic content serving. The dynamic content serving technology can identify, in real-time, programming arriving at a client device, identify the specific segment being received, and determine which pre-stored video segment may be used to replace the identified segment. A dynamic content controller component can also identify what devices, in addition to the client device, may also be served with supplemental information either related or unrelated to the program currently displayed on the client device.
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations
H04N 21/4363 - Adapting the video stream to a specific local network, e.g. a Bluetooth® network
H04N 21/438 - Interfacing the downstream path of the transmission network originating from a server, e.g. retrieving encoded video stream packets from an IP network
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
3.
SYSTEMS AND METHODS FOR PARTITIONING SEARCH INDEXES FOR IMPROVED EFFICIENCY IN IDENTIFYING MEDIA SEGMENTS
Systems and methods for identifying a media segment of audio or video content are described. The video segment is identified by deriving data from media content and comparing said data to a reference database in order to identify said video segment. Embodiments of the invention improve the speed and accuracy of the media identification process by advantageously partitioning the indexes in subdivisions where high value reference information is separated from the bulk information, for example.
G06V 20/40 - ScenesScene-specific elements in video content
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/658 - Transmission by the client directed to the server
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
4.
System and method for continuous media segment identification
This invention provides a means to identify unknown media programming using the audio component of said programming. The invention extracts audio information from the media received by consumer electronic devices such as smart TVs and TV set-top boxes then conveys said information to a remote server means which will in turn identify said audio information of unknown identity by way of testing against a database of known audio segment information. The system identifies unknown media programming in real-time such that time-sensitive services may be offered such as interactive television applications providing contextually related information or television advertisement substitution. Other uses include tracking media consumption among many other services.
H04N 21/233 - Processing of audio elementary streams
G06F 16/683 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 16/70 - Information retrievalDatabase structures thereforFile system structures therefor of video data
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G10L 25/54 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for retrieval
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video streamRemultiplexing of multiplex streamsInsertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rateAssembling of a packetised elementary stream
H04N 21/278 - Content descriptor database or directory service for end-user access
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
G10L 25/06 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being correlation coefficients
G10L 25/12 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being prediction coefficients
5.
SYSTEM AND METHOD FOR IMPROVING WORK LOAD MANAGEMENT IN ACR TELEVISION MONITORING SYSTEM
Systems and methods for optimizing resource utilization of an automated content recognition (ACR) system by delaying the identification of certain large quantities of media cue data are described. The delayed identification of the media may be for the purpose of, for example, generating usage statistics or other non-time critical work flow, among other non-real-time uses. In addition, real-time identification of a certain subset of media cue data is performed for the purposes of video program substitution, interactive television opportunities or other time-specific events.
G06F 16/48 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
Systems and methods are provided for decoding watermarks in video frames. A media device may receive a video frame that includes a first predetermined region comprising a watermark and a second predetermined region having pixel values selected to reduce the perceptibility of the first predetermined region. The media device may detect the watermark in the first predetermined region of the video frame and identify one or more contiguous subsets of pixels that correspond to a first pixel value and one or more contiguous subsets of pixels that correspond to a second pixel value. The media device then assigns a first symbol to the one or more contiguous subsets of pixels that correspond to the first pixel value and second symbol the one or more contiguous subsets of pixels that correspond to the second pixel value. The media device then generates a first sequence of symbols from the assigned symbols.
Provided are methods, devices, and computer-program products for determining an accuracy score for a device mapping system. In some examples, the accuracy score can be based on a device map of the device mapping system and viewing data from an automated content recognition component. In such examples, the accuracy score can indicate whether the device mapping system is assigning similar categories to devices that have similar player of media content. In some examples, a device map can be determined to be random, indicating that the device mapping system is inaccurate. In contrast, if the device map is determined to have a sufficiently low probability of being merely random in nature, the device mapping system can be determined to be accurate.
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
G06V 20/40 - ScenesScene-specific elements in video content
H04L 65/612 - Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio for unicast
8.
Methods for identifying video segments and displaying option to view from an alternative source and/or on an alternative device
Techniques and systems are provided for identifying a video segment displayed on a screen of a remote television system, and providing an option to switch to an alternative or related version of the video program that includes the video segment. For example, video segments displayed on a screen of a television system can be identified, and contextually-targeted content or contextually-related alternative content can be provided to a television system based on the identification of a video segment. The alternative or related version of the video program can include the currently displayed program in an on-demand format that can be viewed off-line and can be started over from a beginning portion of the program.
H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/472 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
H04N 21/4722 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content
H04N 21/658 - Transmission by the client directed to the server
Provided are systems, methods, and computer-program products for identifying a media content stream when the media content stream is playing an unscheduled media segment. A computing device may receive a plurality of media content streams, where at least two of the plurality of media content streams concurrently includes a same unscheduled media segment. The computing device may determine that the media display device is playing the unscheduled media segment by examining the media content available at the current time in each of the plurality of media content streams. The computing device may determine identification information from the media content included in the media content stream. The computing device may determine contextually-related content, which may be disabled while the unscheduled media segment is being played by the media display device. The computing device may display the media content stream and the contextually-related content after the unscheduled media segment has been played.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/2668 - Creating a channel for a dedicated end-user group, e.g. by inserting targeted commercials into a video stream based on end-user profiles
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
Methods, systems, devices, and computer-program products are described herein for providing dynamic content serving. The dynamic content serving technology can identify, in real-time, programming arriving at a client device, identify a specific media segment being received and/or displayed, and determine which pre-stored substitute media segment may be used to replace the identified segment. A picture-in-picture channel can be used to display the substitute media segment.
H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
Systems and methods are provided for decoding watermarks in video frames. A media device may receive a video frame that includes a first predetermined region comprising a watermark and a second predetermined region having pixel values selected to reduce the perceptibility of the first predetermined region. The media device may detect the watermark in the first predetermined region of the video frame and identify one or more contiguous subsets of pixels that correspond to a first pixel value and one or more contiguous subsets of pixels that correspond to a second pixel value. The media device then assigns a first symbol to the one or more contiguous subsets of pixels that correspond to the first pixel value and second symbol the one or more contiguous subsets of pixels that correspond to the second pixel value. The media device then generates a first sequence of symbols from the assigned symbols.
A media segment of audio or video content can be identified by deriving data from media content and comparing the data to a reference database to identify the video segment. The speed and accuracy of the media identification process can be improved by advantageously partitioning the indexes in subdivisions where high value reference information is separated from the bulk information.
G06V 20/40 - ScenesScene-specific elements in video content
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/658 - Transmission by the client directed to the server
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
13.
Methods for identifying video segments and displaying contextually targeted content on a connected television
Systems and methods for identifying which video segment is being displayed on a screen of a television system. The video segment is identified by deriving data from the television signals, the derived data being indicative of the video segment being displayed on file screen. This feature can be used to extract a viewer's reaction (such as changing the channel) to a specific video segment (such as an advertisement) and reporting the extracted information as metrics. The systems and methods may further provide contextually targeted content to the television system. The contextual targeting is based on not only identification of the video segment being displayed, but also a determination concerning the playing time or offset time of the particular portion of the video segment being currently displayed.
H04N 21/431 - Generation of visual interfacesContent or additional data rendering
G06F 16/40 - Information retrievalDatabase structures thereforFile system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
H04N 5/765 - Interface circuits between an apparatus for recording and another apparatus
H04N 9/82 - Transformation of the television signal for recording, e.g. modulation, frequency changingInverse transformation for playback the individual colour picture signal components being recorded simultaneously only
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video streamRemultiplexing of multiplex streamsInsertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rateAssembling of a packetised elementary stream
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
This invention provides a means to identify unknown media programming using the audio component of said programming. The invention extracts audio information from the media received by consumer electronic devices such as smart TVs and TV set-top boxes then conveys said information to a remote server means which will in turn identify said audio information of unknown identity by way of testing against a database of known audio segment information. The system identifies unknown media programming in real-time such that time-sensitive services may be offered such as interactive television applications providing contextually related information or television advertisement substitution. Other uses include tracking media consumption among many other services.
H04N 21/233 - Processing of audio elementary streams
G06F 16/70 - Information retrievalDatabase structures thereforFile system structures therefor of video data
G06F 16/683 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G10L 25/54 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for retrieval
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video streamRemultiplexing of multiplex streamsInsertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rateAssembling of a packetised elementary stream
H04N 21/278 - Content descriptor database or directory service for end-user access
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
G10L 25/12 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being prediction coefficients
G10L 25/06 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being correlation coefficients
15.
Embedding data in video without visible impairments
Methods, devices, and computer-program products are provided for adding data to a digital video signal in a visually imperceptible manner. For example, a region of pixels can be identified in a video frame, and one or more pixel characteristics of the region of pixels can be determined. Based on the one or more pixel characteristics of the region of pixels, at least one pixel characteristic of a subset of pixels from the region of pixels can be modified in order to encode a set of data into the region of pixels. An output frame can be provided that includes the modified at least one pixel characteristics for the subset of pixels.
H04N 5/913 - Television signal processing therefor for scrambling
H04N 19/467 - Embedding additional information in the video signal during the compression process characterised by the embedded information being invisible, e.g. watermarking
16.
Systems and methods for the application of adaptive video watermarks
Systems and methods are provided for decoding watermarks in video frames. A media device may receive a video frame that includes a first predetermined region comprising a watermark and a second predetermined region having pixel values selected to reduce the perceptibility of the first predetermined region. The media device may detect the watermark in the first predetermined region of the video frame and identify one or more contiguous subsets of pixels that correspond to a first pixel value and one or more contiguous subsets of pixels that correspond to a second pixel value. The media device then assigns a first symbol to the one or more contiguous subsets of pixels that correspond to the first pixel value and second symbol the one or more contiguous subsets of pixels that correspond to the second pixel value. The media device then generates a first sequence of symbols from the assigned symbols.
Systems and methods are provided for decoding watermarks in video frames. A media device may receive a video frame that includes a first predetermined region comprising a watermark and a second predetermined region having pixel values selected to reduce the perceptibility of the first predetermined region. The media device may detect the watermark in the first predetermined region of the video frame and identify one or more contiguous subsets of pixels that correspond to a first pixel value and one or more contiguous subsets of pixels that correspond to a second pixel value. The media device then assigns a first symbol to the one or more contiguous subsets of pixels that correspond to the first pixel value and second symbol the one or more contiguous subsets of pixels that correspond to the second pixel value. The media device then generates a first sequence of symbols from the assigned symbols.
H04N 19/174 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a slice, e.g. a line of blocks or a group of blocks
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
18.
SYSTEMS AND METHODS FOR THE APPLICATION OF ADAPTIVE VIDEO WATERMARKS
Systems and methods are provided for decoding watermarks in video frames. A media device may receive a video frame that includes a first predetermined region comprising a watermark and a second predetermined region having pixel values selected to reduce the perceptibility of the first predetermined region. The media device may detect the watermark in the first predetermined region of the video frame and identify one or more contiguous subsets of pixels that correspond to a first pixel value and one or more contiguous subsets of pixels that correspond to a second pixel value. The media device then assigns a first symbol to the one or more contiguous subsets of pixels that correspond to the first pixel value and second symbol the one or more contiguous subsets of pixels that correspond to the second pixel value. The media device then generates a first sequence of symbols from the assigned symbols.
H04N 19/174 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a slice, e.g. a line of blocks or a group of blocks
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
19.
Embedding video watermarks without visible impairments
Methods, devices, and computer-program products are provided for adding and decoding data to a digital video signal in a visually imperceptible manner. For example, an encoded video frame can be obtained, and one or more blocks of the encoded video frame can be decoded. Binary data can be added to a subset of pixels from a set of pixels of the one or more blocks. For instance, a pixel component can be modulated to add the binary data. The one or more blocks can be re-encoded using at least one coding mode. The re-encoded one or more blocks can be added to the encoded video frame.
H04N 19/467 - Embedding additional information in the video signal during the compression process characterised by the embedded information being invisible, e.g. watermarking
Provided are methods, devices, and computer-program products for determining an accuracy score for a device mapping system. In some examples, the accuracy score can be based on a device map of the device mapping system and viewing data from an automated content recognition component. In such examples, the accuracy score can indicate whether the device mapping system is assigning similar categories to devices that have similar player of media content. In some examples, a device map can be determined to be random, indicating that the device mapping system is inaccurate. In contrast, if the device map is determined to have a sufficiently low probability of being merely random in nature, the device mapping system can be determined to be accurate.
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
G06V 20/40 - ScenesScene-specific elements in video content
Resource utilization of an automated content recognition (ACR) system can be optimized by delaying the identification of certain large quantities of media cue data. The delayed identification of the media may be for the purpose of, for example, generating usage statistics or other non-time critical workflow, among other non-real-time uses. In addition, real-time identification of a certain subset of media cue data is performed for the purposes of video program substitution, interactive television opportunities or other time-specific events.
G06F 16/48 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
Techniques and systems are provided for identifying a video segment displayed on a screen of a remote television system, and providing an option to switch to an alternative or related version of the video program that includes the video segment. For example, video segments displayed on a screen of a television system can be identified, and contextually-targeted content or contextually-related alternative content can be provided to a television system based on the identification of a video segment. The alternative or related version of the video program can include the currently displayed program in an on-demand format that can be viewed off-line and can be started over from a beginning portion of the program.
H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/472 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
H04N 21/4722 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content
H04N 21/658 - Transmission by the client directed to the server
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
Provided are systems, methods, and computer-program products for identifying a media content stream when the media content stream is playing an unscheduled media segment. A computing device may receive a plurality of media content streams, where at least two of the plurality of media content streams concurrently includes a same unscheduled media segment. The computing device may determine that the media display device is playing the unscheduled media segment by examining the media content available at the current time in each of the plurality of media content streams. The computing device may determine identification information from the media content included in the media content stream. The computing device may determine contextually-related content, which may be disabled while the unscheduled media segment is being played by the media display device. The computing device may display the media content stream and the contextually-related content after the unscheduled media segment has been played.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/2668 - Creating a channel for a dedicated end-user group, e.g. by inserting targeted commercials into a video stream based on end-user profiles
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
Methods, systems, devices, and computer-program products are described herein for providing dynamic content serving. The dynamic content serving technology can identify, in real-time, programming arriving at a client device, identify a specific media segment being received and/or displayed, and determine which pre-stored substitute media segment may be used to replace the identified segment. A picture-in-picture channel can be used to display the substitute media segment.
Methods, systems, devices, and computer-program products are described herein for providing dynamic content serving. The dynamic content serving technology can identify, in real-time, programming arriving at a client device, identify a specific media segment being received and/or displayed, and determine which pre-stored substitute media segment may be used to replace the identified segment. A picture-in-picture channel can be used to display the substitute media segment.
H04N 21/443 - OS processes, e.g. booting an STB, implementing a Java virtual machine in an STB or power management in an STB
H04N 21/431 - Generation of visual interfacesContent or additional data rendering
H04N 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
Methods, systems, devices, and computer-program products are described herein for providing dynamic content serving. The dynamic content serving technology can identify, in real-time, programming arriving at a client device, identify a specific media segment being received and/or displayed, and determine which pre-stored substitute media segment may be used to replace the identified segment. A picture-in-picture channel can be used to display the substitute media segment.
H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
Systems and methods for identifying which video segment is being displayed on a screen of a television system. The video segment is identified by deriving data from the television signals, the derived data being indicative of the video segment being displayed on file screen. This feature can be used to extract a viewer's reaction (such as changing the channel) to a specific video segment (such as an advertisement) and reporting the extracted information as metrics. The systems and methods may further provide contextually targeted content to the television system. The contextual targeting is based on not only identification of the video segment being displayed, but also a determination concerning the playing time or offset time of the particular portion of the video segment being currently displayed.
H04H 60/32 - Arrangements for monitoring conditions of receiving stations, e.g. malfunction or breakdown of receiving stations
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/431 - Generation of visual interfacesContent or additional data rendering
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
The present disclosure relates generally to occupancy detection, and more particularly to detecting a change in the occupancy of a predetermined area using a passive antenna array. In certain embodiments, baseline signals may be received by an antenna array associated with a display device. The baseline signals may analyzed to detect a baseline of radio frequency signals present in a predetermined area. New radio frequency signals may be received at a later time. The new signals may be analyzed to reveal characteristics of the new signals. Characteristics of the new signals may be compare to characteristics of the baseline signals to determine if the new signals differ from the baselines signals by more than a threshold amount. One or more actions may be executed in response to determining that the new signals differ from the baseline signals by more than the threshold amount.
Provided are devices, computer-program products, and methods related to removing redundant data associated with frames. For example, a method can include storing a plurality of reference data sets in a reference database, where a reference data set is associated with a media segment. The method can further include receiving, by a server, cue data for a frame. The cue data includes a plurality of pixel data samples from the frame, and the frame is associated with an unidentified media segment. The method can further include identifying an absence of a pixel data sample from the cue data for the frame, and matching the cue data for the frame to a reference data set. The matching can include using a previous pixel data sample from a previous frame. The previous pixel data sample corresponds to the pixel data sample absent from the frame, and the reference data set is associated with a media segment. The method can further include determining the unidentified media segment is the media segment.
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
G06V 10/40 - Extraction of image or video features
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
30.
System and method for continuous media segment identification
This invention provides a means to identify unknown media programming using the audio component of said programming. The invention extracts audio information from the media received by consumer electronic devices such as smart TVs and TV set-top boxes then conveys said information to a remote server means which will in turn identify said audio information of unknown identity by way of testing against a database of known audio segment information. The system identifies unknown media programming in real-time such that time-sensitive services may be offered such as interactive television applications providing contextually related information or television advertisement substitution. Other uses include tracking media consumption among many other services.
G06F 16/00 - Information retrievalDatabase structures thereforFile system structures therefor
H04N 21/233 - Processing of audio elementary streams
G06F 16/70 - Information retrievalDatabase structures thereforFile system structures therefor of video data
G06F 16/683 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G10L 25/54 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for retrieval
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video streamRemultiplexing of multiplex streamsInsertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rateAssembling of a packetised elementary stream
H04N 21/278 - Content descriptor database or directory service for end-user access
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
G10L 25/12 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being prediction coefficients
G10L 25/06 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being correlation coefficients
31.
DYNAMIC CONTENT SERVING USING AUTOMATED CONTENT RECOGNITION (ACR) AND DIGITAL MEDIA WATERMARKS
Methods, systems, devices, and computer-program products are described herein for providing dynamic content serving. The dynamic content serving technology can identify, in real-time, programming arriving at a client device, identify the specific segment being received, and determine which pre-stored video segment may be used to replace the identified segment. A dynamic content controller component can also identify what devices, in addition to the client device, may also be served with supplemental information either related or unrelated to the program currently displayed on the client device.
H04N 21/432 - Content retrieval operation from a local storage medium, e.g. hard-disk
H04N 21/436 - Interfacing a local distribution network, e.g. communicating with another STB or inside the home
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
32.
Dynamic content serving using automated content recognition (ACR) and digital media watermarks
Methods, systems, devices, and computer-program products are described herein for providing dynamic content serving. The dynamic content serving technology can identify, in real-time, programming arriving at a client device, identify the specific segment being received, and determine which pre-stored video segment may be used to replace the identified segment. A dynamic content controller component can also identify what devices, in addition to the client device, may also be served with supplemental information either related or unrelated to the program currently displayed on the client device.
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/433 - Content storage operation, e.g. storage operation in response to a pause request or caching operations
H04N 21/4363 - Adapting the video stream to a specific local network, e.g. a Bluetooth® network
H04N 21/438 - Interfacing the downstream path of the transmission network originating from a server, e.g. retrieving encoded video stream packets from an IP network
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
33.
DYNAMIC CONTENT SERVING USING AUTOMATED CONTENT RECOGNITION (ACR) AND DIGITAL MEDIA WATERMARKS
Methods, systems, devices, and computer-program products are described herein for providing dynamic content serving. The dynamic content serving technology can identify, in real-time, programming arriving at a client device, identify the specific segment being received, and determine which pre-stored video segment may be used to replace the identified segment. A dynamic content controller component can also identify what devices, in addition to the client device, may also be served with supplemental information either related or unrelated to the program currently displayed on the client device.
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/436 - Interfacing a local distribution network, e.g. communicating with another STB or inside the home
H04N 21/8358 - Generation of protective data, e.g. certificates involving watermark
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/432 - Content retrieval operation from a local storage medium, e.g. hard-disk
34.
Methods for identifying video segments and displaying option to view from an alternative source and/or on an alternative device
Techniques and systems are provided for identifying a video segment displayed on a screen of a remote television system, and providing an option to switch to an alternative or related version of the video program that includes the video segment. For example, video segments displayed on a screen of a television system can be identified, and contextually-targeted content or contextually-related alternative content can be provided to a television system based on the identification of a video segment. The alternative or related version of the video program can include the currently displayed program in an on-demand format that can be viewed off-line and can be started over from a beginning portion of the program.
H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/472 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
H04N 21/4722 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content
H04N 21/658 - Transmission by the client directed to the server
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
Provided are systems, methods, and computer-program products for identifying a media content stream when the media content stream is playing an unscheduled media segment. A computing device may receive a plurality of media content streams, where at least two of the plurality of media content streams concurrently includes a same unscheduled media segment. The computing device may determine that the media display device is playing the unscheduled media segment by examining the media content available at the current time in each of the plurality of media content streams. The computing device may determine identification information from the media content included in the media content stream. The computing device may determine contextually-related content, which may be disabled while the unscheduled media segment is being played by the media display device. The computing device may display the media content stream and the contextually-related content after the unscheduled media segment has been played.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/2668 - Creating a channel for a dedicated end-user group, e.g. by inserting targeted commercials into a video stream based on end-user profiles
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
36.
System and methods of detecting human presence in the vicinity of a radio frequency receiver system
The present disclosure relates generally to occupancy detection, and more particularly to detecting a change in the occupancy of a predetermined area using a passive antenna array. In certain embodiments, baseline signals may be received by an antenna array associated with a display device. The baseline signals may analyzed to detect a baseline of radio frequency signals present in a predetermined area. New radio frequency signals may be received at a later time. The new signals may be analyzed to reveal characteristics of the new signals. Characteristics of the new signals may be compare to characteristics of the baseline signals to determine if the new signals differ from the baselines signals by more than a threshold amount. One or more actions may be executed in response to determining that the new signals differ from the baseline signals by more than the threshold amount.
A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/2347 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving video stream encryption
H04N 21/237 - Communication with additional data server
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/858 - Linking data to content, e.g. by linking an URL to a video object or by creating a hotspot
G06F 16/735 - Filtering based on additional data, e.g. user or group profiles
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 16/955 - Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
G06Q 30/02 - MarketingPrice estimation or determinationFundraising
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/431 - Generation of visual interfacesContent or additional data rendering
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/478 - Supplemental services, e.g. displaying phone caller identification or shopping application
38.
Techniques for audience analysis using automated content recognition and identity management
The present disclosure relates generally to media content distribution, and more particularly to audience analysis using automated content recognition and identity management. In certain embodiments, a targeting system is provided for generating and presenting a user interface to assist an administrator in targeting particular users. For example, a user interface (referred to as an audience explorer) may be presented that allows the administrator to select one or more categories of users. For another example, a user interface (referred to as a genre explorer) may be presented to that allows the administrator to select a particular media category. For another example, a user interface (referred to as a show explorer) may be presented that allows the administrator to select a particular media segment. For another example, a user interface (referred to as a station explorer) may be presented that allows the administrator to select a particular content stream.
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/658 - Transmission by the client directed to the server
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
39.
Embedding data in video without visible impairments
Methods, devices, and computer-program products are provided for adding data to a digital video signal in a visually imperceptible manner. For example, a region of pixels can be identified in a video frame, and one or more pixel characteristics of the region of pixels can be determined. Based on the one or more pixel characteristics of the region of pixels, at least one pixel characteristic of a subset of pixels from the region of pixels can be modified in order to encode a set of data into the region of pixels. An output frame can be provided that includes the modified at least one pixel characteristics for the subset of pixels.
H04N 19/467 - Embedding additional information in the video signal during the compression process characterised by the embedded information being invisible, e.g. watermarking
40.
Methods for identifying video segments and displaying contextually targeted content on a connected television
Systems and methods for identifying which video segment is being displayed on a screen of a television system. The video segment is identified by deriving data from the television signals, the derived data being indicative of the video segment being displayed on file screen. This feature can be used to extract a viewer's reaction (such as changing the channel) to a specific video segment (such as an advertisement) and reporting the extracted information as metrics. The systems and methods may further provide contextually targeted content to the television system. The contextual targeting is based on not only identification of the video segment being displayed, but also a determination concerning the playing time or offset time of the particular portion of the video segment being currently displayed.
H04H 60/32 - Arrangements for monitoring conditions of receiving stations, e.g. malfunction or breakdown of receiving stations
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 5/445 - Receiver circuitry for displaying additional information
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
Methods, devices, and computer-program products are provided for adding and decoding data to a digital video signal in a visually imperceptible manner. For example, an encoded video frame can be obtained, and one or more blocks of the encoded video frame can be decoded. Binary data can be added to a subset of pixels from a set of pixels of the one or more blocks. For instance, a pixel component can be modulated to add the binary data. The one or more blocks can be re-encoded using at least one coding mode. The re-encoded one or more blocks can be added to the encoded video frame.
H04N 19/467 - Embedding additional information in the video signal during the compression process characterised by the embedded information being invisible, e.g. watermarking
An array of a multiplicity of ten-by-ten grids of pixels per video frame is employed to form a watermark mask. Motion of a pixel block is determined by a pseudo-random sequence from a seed value. The resulting invention embeds data as binary bits by shifting one or more color space values of a small patch of pixels.
Techniques and systems are provided for identifying unknown content. For example, a number of vectors out of a plurality of vectors projected from an origin point can be determined that are between a reference data point and an unknown data point. The number of vectors can be used to estimate an angle between a first vector (from the origin point to a reference data point) and a second vector (from the origin point to an unknown data point). A distance between the reference data point and the unknown data point can then be determined. Using the determined distance, candidate data points can be determined from a set of reference data points. The candidate data points can be analyzed to identify the unknown data point.
G06K 9/48 - Extraction of features or characteristics of the image by coding the contour of the pattern
G06K 9/52 - Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06K 9/62 - Methods or arrangements for recognition using electronic means
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
44.
Systems and methods for addressing a media database using distance associative hashing
A system, method and computer program utilize a distance associative hashing algorithmic means to provide a highly efficient means to rapidly address a large database. The indexing means can be readily subdivided into a plurality of independently-addressable segments where each such segment can address a portion of related data of the database where the subdivided indexes of said portions reside entirely in the main memory of each of a multiplicity of server means. The resulting cluster of server means, each hosting an addressable sector of a larger database of searchable audio or video information, provides a significant improvement in the latency and scalability of an Automatic Content Recognition system, among other uses.
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/231 - Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers or prioritizing data for deletion
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
Techniques and systems are provided for identifying a video segment displayed on a screen of a remote television system, and providing an option to switch to an alternative or related version of the video program that includes the video segment. For example, video segments displayed on a screen of a television system can be identified, and contextually-targeted content or contextually-related alternative content can be provided to a television system based on the identification of a video segment. The alternative or related version of the video program can include the currently displayed program in an on-demand format that can be viewed off-line and can be started over from a beginning portion of the program.
H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/472 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
H04N 21/4722 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content
H04N 21/658 - Transmission by the client directed to the server
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
46.
Optimizing media fingerprint retention to improve system resource utilization
Provided are devices, computer-program products, and methods related to removing redundant data associated with frames. For example, a method can include storing a plurality of reference data sets in a reference database, where a reference data set is associated with a media segment. The method can further include receiving, by a server, cue data for a frame. The cue data includes a plurality of pixel data samples from the frame, and the frame is associated with an unidentified media segment. The method can further include identifying an absence of a pixel data sample from the cue data for the frame, and matching the cue data for the frame to a reference data set. The matching can include using a previous pixel data sample from a previous frame. The previous pixel data sample corresponds to the pixel data sample absent from the frame, and the reference data set is associated with a media segment. The method can further include determining the unidentified media segment is the media segment.
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
G06K 9/46 - Extraction of features or characteristics of the image
G06K 9/62 - Methods or arrangements for recognition using electronic means
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
47.
SYSTEMS AND METHODS FOR IMPROVING ACCURACY OF DEVICE MAPS USING MEDIA VIEWING DATA
Provided are methods, devices, and computer-program products for determining an accuracy score for a device mapping system. In some examples, the accuracy score can be based on a device map of the device mapping system and viewing data from an automated content recognition component. In such examples, the accuracy score can indicate whether the device mapping system is assigning similar categories to devices that have similar player of media content. In some examples, a device map can be determined to be random, indicating that the device mapping system is inaccurate. In contrast, if the device map is determined to have a sufficiently low probability of being merely random in nature, the device mapping system can be determined to be accurate.
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
48.
Systems and methods for improving accuracy of device maps using media viewing data
Provided are methods, devices, and computer-program products for determining an accuracy score for a device mapping system. In some examples, the accuracy score can be based on a device map of the device mapping system and viewing data from an automated content recognition component. In such examples, the accuracy score can indicate whether the device mapping system is assigning similar categories to devices that have similar player of media content. In some examples, a device map can be determined to be random, indicating that the device mapping system is inaccurate. In contrast, if the device map is determined to have a sufficiently low probability of being merely random in nature, the device mapping system can be determined to be accurate.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
Provided are methods, devices, and computer-program products for determining an accuracy score for a device mapping system. In some examples, the accuracy score can be based on a device map of the device mapping system and viewing data from an automated content recognition component. In such examples, the accuracy score can indicate whether the device mapping system is assigning similar categories to devices that have similar player of media content. In some examples, a device map can be determined to be random, indicating that the device mapping system is inaccurate. In contrast, if the device map is determined to have a sufficiently low probability of being merely random in nature, the device mapping system can be determined to be accurate.
Systems and methods for identifying which video segment is being displayed on a screen of a television system. The video segment is identified by deriving data from the television signals, the derived data being indicative of the video segment being displayed on file screen. This feature can be used to extract a viewer's reaction (such as changing the channel) to a specific video segment (such as an advertisement) and reporting the extracted information as metrics. The systems and methods may further provide contextually targeted content to the television system. The contextual targeting is based on not only identification of the video segment being displayed, but also a determination concerning the playing time or offset time of the particular portion of the video segment being currently displayed.
H04N 5/445 - Receiver circuitry for displaying additional information
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/2347 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving video stream encryption
H04N 21/237 - Communication with additional data server
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/858 - Linking data to content, e.g. by linking an URL to a video object or by creating a hotspot
G06F 17/30 - Information retrieval; Database structures therefor
G06Q 30/02 - MarketingPrice estimation or determinationFundraising
H04N 5/445 - Receiver circuitry for displaying additional information
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/478 - Supplemental services, e.g. displaying phone caller identification or shopping application
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software for use in the detection, collection and
systematizing of video, advertisements, television
programming information and other multimedia content and
transmission of such content via communications networks;
software for the detection, collection and systematizing of
audio and audio-visual information and data and other
multimedia content for use in televisions, audio equipment,
mobile devices, computers and other electronic devices in
the fields of market research, consumer behavior,
advertising and entertainment; software to enable the
directing of entertainment, advertisements and other
multimedia content to consumers based on consumer behavior. Advertising and marketing services; advertising, promotion
and marketing services in the fields of market research,
consumer behavior, advertising and entertainment; providing
business information in the fields market research, consumer
behavior, advertising and entertainment; market research,
information and data collection services regarding consumers
for business purposes. Poviding non-downloadable software for use in the detection,
collection and systematizing of video, advertisements,
television programming information and other multimedia
content and transmission of such content via communications
networks; providing software for use in televisions, audio
equipment, mobile devices, computers and other electronic
devices for the purpose of market research, consumer
behavior, advertising and entertainment, namely,
non-downloadable software for the detection, collection and
systematizing of audio and audio-visual information and data
and other multimedia content; providing non-downloadable
software to enable the directing of entertainment,
advertisements and other multimedia content to consumers
based on consumer behavior; providing temporary use of
non-downloadable software available online for third parties
to access content and data in the fields of market research,
consumer behavior, advertising and entertainment.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software for use in the detection, collection and
systematizing of video, advertisements, television
programming information and other multimedia content and
transmission of such content via communications networks;
software for the detection, collection and systematizing of
audio and audio-visual information and data and other
multimedia content for use in televisions, audio equipment,
mobile devices, computers and other electronic devices in
the fields of market research, consumer behavior,
advertising and entertainment; software to enable the
directing of entertainment, advertisements and other
multimedia content to consumers based on consumer behavior. Advertising and marketing services; advertising, promotion
and marketing services in the fields of market research,
consumer behavior, advertising and entertainment; providing
business information in the fields market research, consumer
behavior, advertising and entertainment; market research,
information and data collection services regarding consumers
for business purposes. Providing non-downloadable software for use in the
detection, collection and systematizing of video,
advertisements, television programming information and other
multimedia content and transmission of such content via
communications networks; providing software for use in
televisions, audio equipment, mobile devices, computers and
other electronic devices for the purpose of market research,
consumer behavior, advertising and entertainment, namely,
non-downloadable software for the detection, collection and
systematizing of audio and audio-visual information and data
and other multimedia content; providing non-downloadable
software to enable the directing of entertainment,
advertisements and other multimedia content to consumers
based on consumer behavior; providing temporary use of
non-downloadable software available online for third parties
to access content and data in the fields of market research,
consumer behavior, advertising and entertainment.
54.
Monitoring individual viewing of television events using tracking pixels and cookies
A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/2347 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving video stream encryption
H04N 21/237 - Communication with additional data server
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/858 - Linking data to content, e.g. by linking an URL to a video object or by creating a hotspot
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Software for use in the detection, collection and systematizing of audience viewing data of video, namely, video clips, movies, films, and music videos, advertisements, television programming information and other multimedia content, namely, user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of displaying on television screens and transmission of all of the aforementioned video, advertisement, television programming information and multimedia content via communications networks for the purpose of collecting, analyzing and disseminating audience viewing data gathered through automatic content recognition software, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; software for the detection, collection and systematizing of audience listening and viewing data of audio and audio-visual information and data, namely, sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts and other multimedia content, namely, userdefined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, and healthy lifestyle that is capable of playing through television speakers, portable speakers, stereo speakers and sound bars for use in televisions, audio equipment in the nature television speakers, stereo speakers, portable speakers and sound bars, mobile devices in the nature of mp3 players, electronic hand-held game units, game consoles, mobile phones, cell phones, personal digital assistants, and computers in the fields of market research, consumer behavior, advertising the goods and services of others and entertainment in the form of television shows, movies, games, and streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts for the purpose of collecting, analyzing and disseminating audience listening and viewing data gathered through automatic content recognition software, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; software to enable the directing of media entertainment in the form of television shows, movies, streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts and games, advertisements and other multimedia content, namely user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of displaying on television screens to consumers based on consumer media viewing behavior, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration. (1) Providing business information created through the use of automatic content recognition software for detecting, collecting and systematizing of audience viewing data to advertisers and broadcasters in the fields of market research, consumer behavior, advertising the goods and services of others and entertainment in the form of television shows, movies, games, and streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts; market research,information and data collection services for advertisers and broadcasters in the nature of collecting audience viewing information and consumer viewing behaviour data for business purposes.
(2) Providing non-downloadable software for use in the detection, collection and systematizing of audience viewing data of video namely, video clips, movies, films, and music videos, advertisements, television programming information and other multimedia content, namely, user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of displaying on television screens and transmission of the aforementioned video, advertisement, television programming information and multimedia content via communications networks for the purpose of collecting, analyzing and disseminating audience viewing data gathered through automatic content recognition software, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; providing non-downloadable software for the detection, collection and systematizing of audience listening and viewing data of audio and audio-visual information and data, namely, sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts and other multimedia content, namely, user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of playing through television speakers, portable speakers, stereo speakers and sound bars for use in televisions, audio equipment in the nature television speakers, stereo speakers, portable speakers and sound bars, mobile devices in the nature of mp3 players, electronic hand-held game units, game consoles, mobile phones, cell phones, personal digital assistants, and computers in the fields of market research, consumer behavior, advertising the goods and services of others and entertainment in the form of television shows, movies, games, and streaming audio and video, namely, streaming soundsclips, music, movies, video clips, television shows, music videos, news and sports webcasts for the purpose of collecting, analyzing and disseminating audience listening and viewing data gathered through automatic content recognition software, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; providing non-downloadable software to enable the directing of media entertainment in the form of television shows, movies, streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts and games, advertisements and other multimedia content, namely, user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of displaying on television screens to consumers based on consumer media viewing behavior all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; providing temporary use of non-downloadable software available online for third parties to access content and data in the form of consumer media viewing data gathered through the use of automatic content recognition software for detecting, collecting and systematizing of audience viewing data for advertisers and broadcasters in the fields of market research, consumer behavior, advertising the goods and services of others and entertainment in the form of television shows, movies, games, and streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software; packaged software; operating software; communication software; telecommunications software; software for interactive television; application software for televisions; software for use in the detection, collection and systematizing of video, advertisements, television programming information and other multimedia content and transmission of such content via communications networks; computer software to enhance the audio-visual capabilities of multimedia applications, namely, for the integration of text, audio, graphics, still images and moving pictures; computer software for controlling the operation of audio and video devices; computer software for wireless network communications; computer software for analysing and processing market information; software for the detection, collection and systematizing of audio and audio-visual information and data and other multimedia content for use in televisions, audio equipment, mobile devices, computers and other electronic devices in the fields of market research, consumer behaviour, advertising and entertainment; software to enable the directing of entertainment, advertisements and other multimedia content to consumers based on consumer behaviour. Promotion services in the fields of market research, consumer behaviour and entertainment; providing business information in the fields of market research, consumer behaviour and entertainment; market research, information and data collection services regarding consumers for business purposes; information, advisory and consultancy services relating to all services mentioned above. Software research; software installation; providing temporary use of non-downloadable software for use in the detection, collection and systematizing of video, advertisements, television programming information and other multimedia content and transmission of such content via communication networks; providing temporary use of non-downloadable software for use in televisions, audio equipment, mobile devices, computers and other electronic devices for the purpose of market research, consumer behaviour, advertising and entertainment, namely, non-downloadable software for the detection, collection and systematizing of audio and audio-visual information and data and other multimedia content; providing temporary use of non-downloadable software to enable the directing of entertainment, advertisements and other multimedia content to consumers based on consumer providing online behaviour; providing temporary use of non-downloadable software available online for third parties to access content and data in the fields of market research, consumer behaviour, advertising and entertainment; information, advisory and consultancy services relating to all services mentioned above.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Software for use in the detection, collection and systematizing of audience viewing data of video, namely, video clips, movies, films, and music videos, advertisements, television programming information and other multimedia content, namely, user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of displaying on television screens and transmission of all of the aforementioned video, advertisement, television programming information and multimedia content via communications networks for the purpose of collecting, analyzing and disseminating audience viewing data gathered through automatic content recognition software, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; software for the detection, collection and systematizing of audience listening and viewing data of audio and audio-visual information and data, namely, sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts and other multimedia content, namely, userdefined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, and healthy lifestyle that is capable of playing through television speakers, portable speakers, stereo speakers and sound bars for use in televisions, audio equipment in the nature television speakers, stereo speakers, portable speakers and sound bars, mobile devices in the nature of mp3 players, electronic hand-held game units, game consoles, mobile phones, cell phones, personal digital assistants, and computers in the fields of market research, consumer behavior, advertising the goods and services of others and entertainment in the form of television shows, movies, games, and streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts for the purpose of collecting, analyzing and disseminating audience listening and viewing data gathered through automatic content recognition software, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; software to enable the directing of media entertainment in the form of television shows, movies, streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts and games, advertisements and other multimedia content, namely user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of displaying on television screens to consumers based on consumer media viewing behavior, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration. (1) Providing business information created through the use of automatic content recognition software for detecting, collecting and systematizing of audience viewing data to advertisers and broadcasters in the fields of market research, consumer behavior, advertising the goods and services of others and entertainment in the form of television shows, movies, games, and streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts; market research, information and data collection services for advertisers and broadcasters in the nature of collecting audience viewing information and consumer viewing behaviour data for business purposes.
(2) Providing non-downloadable software for use in the detection, collection and systematizing of audience viewing data of video namely, video clips, movies, films, and music videos, advertisements, television programming information and other multimedia content, namely, user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of displaying on television screens and transmission of the aforementioned video, advertisement, television programming information and multimedia content via communications networks for the purpose of collecting, analyzing and disseminating audience viewing data gathered through automatic content recognition software, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; providing non-downloadable software for the detection, collection and systematizing of audience listening and viewing data of audio and audio-visual information and data, namely, sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts and other multimedia content, namely, user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of playing through television speakers, portable speakers, stereo speakers and sound bars for use in televisions, audio equipment in the nature television speakers, stereo speakers, portable speakers and sound bars, mobile devices in the nature of mp3 players, electronic hand-held game units, game consoles, mobile phones, cell phones, personal digital assistants, and computers in the fields of market research, consumer behavior, advertising the goods and services of others and entertainment in the form of television shows, movies, games, and streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts for the purpose of collecting, analyzing and disseminating audience listening and viewing data gathered through automatic content recognition software, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; providing non-downloadable software to enable the directing of media entertainment in the form of television shows, movies, streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts and games, advertisements and other multimedia content, namely, user-defined content in the form of TV shows, radio shows, online webcasts, podcasts, text messages, news, comments, video clips, movies, films, photos, music, voice recordings, sound clips, animation, pictures, digital images, text in the fields of current events, politics, foreign affairs, general interest news, gaming, comedy, relationships, technology, photos, videos, religion, science, sports, art, entertainment news, food and drink, general popular culture, works of fiction, literature, travel news and travel-related topics, movies, music and work and leisure lifestyle, healthy lifestyle that is capable of displaying on television screens to consumers based on consumer media viewing behavior all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration; providing temporary use of non-downloadable software available online for third parties to access content and data in the form of consumer media viewing data gathered through the use of automatic content recognition software for detecting, collecting and systematizing of audience viewing data for advertisers and broadcasters in the fields of market research, consumer behavior, advertising the goods and services of others and entertainment in the form of television shows, movies, games, and streaming audio and video, namely, streaming sounds clips, music, movies, video clips, television shows, music videos, news and sports webcasts, all of the foregoing excluding software for use in the fields of office space design, home and interior design, storage space solutions, space division and wall system solutions, and furniture design, selection, and configuration.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software; packaged software; operating software; communication software; telecommunications software; software for interactive television; application software for televisions; software for use in the detection, collection and systematizing of video, advertisements, television programming information and other multimedia content and transmission of such content via communications networks; computer software to enhance the audio-visual capabilities of multimedia applications, namely, for the integration of text, audio, graphics, still images and moving pictures; computer software for controlling the operation of audio and video devices; computer software for wireless network communications; computer software for analysing and processing market information; software for the detection, collection and systematizing of audio and audio-visual information and data and other multimedia content for use in televisions, audio equipment, mobile devices, computers and other electronic devices in the fields of market research, consumer behaviour, advertising and entertainment; software to enable the directing of entertainment, advertisements and other multimedia content to consumers based on consumer behaviour. Promotion services in the fields of market research, consumer behaviour, entertainment; providing business information in the fields of market research, consumer behaviour and entertainment; market research, information and data collection services regarding consumers for business purposes; information, advisory and consultancy services relating to all services mentioned above. Software research; software installation; providing temporary use of non-downloadable software for use in the detection, collection and systematizing of video, advertisements, television programming information and other multimedia content and transmission of such content via communication networks; providing temporary use of non-downloadable software for use in televisions, audio equipment, mobile devices, computers and other electronic devices for the purpose of market research, consumer behaviour, advertising and entertainment, namely, non-downloadable software for the detection, collection and systematizing of audio and audio-visual information and data and other multimedia content; providing temporary use of non-downloadable software to enable the directing of entertainment, advertisements and other multimedia content to consumers based on consumer providing online behaviour; providing temporary use of non-downloadable software available online for third parties to access content and data in the fields of market research, consumer behaviour, advertising and entertainment; information, advisory and consultancy services relating to all services mentioned above.
59.
System and method for continuous media segment identification
This invention provides a means to identify unknown media programming using the audio component of said programming. The invention extracts audio information from the media received by consumer electronic devices such as smart TVs and TV set-top boxes then conveys said information to a remote server means which will in turn identify said audio information of unknown identity by way of testing against a database of known audio segment information. The system identifies unknown media programming in real-time such that time-sensitive services may be offered such as interactive television applications providing contextually related information or television advertisement substitution. Other uses include tracking media consumption among many other services.
G10L 25/00 - Speech or voice analysis techniques not restricted to a single one of groups
H04N 21/233 - Processing of audio elementary streams
G06F 16/70 - Information retrievalDatabase structures thereforFile system structures therefor of video data
G06F 16/683 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G10L 25/54 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for retrieval
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video streamRemultiplexing of multiplex streamsInsertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rateAssembling of a packetised elementary stream
H04N 21/278 - Content descriptor database or directory service for end-user access
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
G10L 25/12 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being prediction coefficients
G10L 25/06 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being correlation coefficients
60.
Systems and methods for addressing a media database using distance associative hashing
A system, method and computer program utilize a distance associative hashing algorithmic means to provide a highly efficient means to rapidly address a large database. The indexing means can be readily subdivided into a plurality of independently-addressable segments where each such segment can address a portion of related data of the database where the subdivided indexes of said portions reside entirely in the main memory of each of a multiplicity of server means. The resulting cluster of server means, each hosting an addressable sector of a larger database of searchable audio or video information, provides a significant improvement in the latency and scalability of an Automatic Content Recognition system, among other uses.
G06F 17/30 - Information retrieval; Database structures therefor
H04N 5/445 - Receiver circuitry for displaying additional information
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/231 - Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers or prioritizing data for deletion
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/478 - Supplemental services, e.g. displaying phone caller identification or shopping application
61.
Systems and methods for addressing a media database using distance associative hashing
A system, method and computer program utilize a distance associative hashing algorithmic means to provide a highly efficient means to rapidly address a large database. The indexing means can be readily subdivided into a plurality of independently-addressable segments where each such segment can address a portion of related data of the database where the subdivided indexes of said portions reside entirely in the main memory of each of a multiplicity of server means. The resulting cluster of server means, each hosting an addressable sector of a larger database of searchable audio or video information, provides a significant improvement in the latency and scalability of an Automatic Content Recognition system, among other uses.
G06F 17/30 - Information retrieval; Database structures therefor
H04N 5/445 - Receiver circuitry for displaying additional information
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/231 - Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers or prioritizing data for deletion
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/478 - Supplemental services, e.g. displaying phone caller identification or shopping application
62.
SYSTEMS AND METHODS FOR PARTITIONING SEARCH INDEXES FOR IMPROVED EFFICIENCY IN IDENTIFYING MEDIA SEGMENTS
Systems and methods for identifying a media segment of audio or video content are disclosed. The video segment is identified by deriving data from media content and comparing said data to a reference database in order to identify said video segment. Embodiments of the invention improve the speed and accuracy of the media identification process by advantageously partitioning the indexes in subdivisions where high value reference information is separated from the bulk information, for example.
H04N 21/2668 - Creating a channel for a dedicated end-user group, e.g. by inserting targeted commercials into a video stream based on end-user profiles
Provided are systems, methods, and computer-program products for identifying a media content stream when the media content stream is playing an unscheduled media segment. A computing device may receive a plurality of media content streams, where at least two of the plurality of media content streams concurrently includes a same unscheduled media segment. The computing device may determine that the media display device is playing the unscheduled media segment by examining the media content available at the current time in each of the plurality of media content streams. The computing device may determine identification information from the media content included in the media content stream. The computing device may determine contextually-related content, which may be disabled while the unscheduled media segment is being played by the media display device. The computing device may display the media content stream and the contextually-related content after the unscheduled media segment has been played.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/454 - Content filtering, e.g. blocking advertisements
Systems and methods for identifying a media segment of audio or video content are disclosed. The video segment is identified by deriving data from media content and comparing said data to a reference database in order to identify said video segment. Embodiments of the invention improve the speed and accuracy of the media identification process by advantageously partitioning the indexes in subdivisions where high value reference information is separated from the bulk information, for example.
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
65.
SYSTEM AND METHOD FOR IMPROVING WORK LOAD MANAGEMENT IN ACR TELEVISION MONITORING SYSTEM
Systems and methods for optimizing resource utilization of an automated content recognition (ACR) system by delaying the identification of certain large quantities of media cue data are disclosed. The delayed identification of the media may be for the purpose of, for example, generating usage statistics or other non-time critical work flow, among other non-real-time uses. In addition, real-time identification of a certain subset of media cue data is performed for the purposes of video program substitution, interactive television opportunities or other time-specific events.
H04N 21/231 - Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers or prioritizing data for deletion
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
Provided are devices, computer-program products, and methods for improved management of system resources in a matching system. For example, examples can increase the efficiency of system resource utilization by managing the duration that data related to video segments are retained based on data that takes into account an identified popularity of a video segment. The identified popularity can be determined by algorithms that take into account numbers of viewers who watched the video segment, ratings of the video segment, metrics derived from remote sources, or any other factor that can indicate likelihood that the video segment will be viewed.
G06F 16/40 - Information retrievalDatabase structures thereforFile system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
G06F 16/48 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
67.
Optimizing media fingerprint retention to improve system resource utilization
Provided are devices, computer-program products, and methods for removing redundant data associated with frames. For example, a method can include receiving an initial frame, determining initial cue data for the initial frame, and sending the initial cue data to a server. The method can further include receiving a new frame and determining new cue data for the new frame. The method can further include identifying a pixel value range. The method can further include determining a pixel value difference between an initial pixel data sample and a new pixel data sample. The method can further include determining the pixel value difference is within the pixel value range and updating the new cue data by removing the new pixel data sample from the new cue data when the pixel value difference is within the pixel value range. The method can further include sending the updated new cue data to the server.
G06F 17/30 - Information retrieval; Database structures therefor
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
G06K 9/46 - Extraction of features or characteristics of the image
G06K 9/62 - Methods or arrangements for recognition using electronic means
68.
Systems and methods for partitioning search indexes for improved efficiency in identifying media segments
Systems and methods include identifying a media segment of audio or video content. The video segment is identified by deriving data from media content and comparing said data to a reference database in order to identify said video segment. Embodiments of the invention improve the speed and accuracy of the media identification process by advantageously partitioning the indexes in subdivisions where high value reference information is separated from the bulk information, for example.
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/658 - Transmission by the client directed to the server
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
Provided are devices, computer-program products, and methods for improved management of system resources in a matching system. For example, examples can increase the efficiency of system resource utilization by managing the duration that data related to video segments are retained based on data that takes into account an identified popularity of a video segment. The identified popularity can be determined by algorithms that take into account numbers of viewers who watched the video segment, ratings of the video segment, metrics derived from remote sources, or any other factor that can indicate likelihood that the video segment will be viewed.
G06F 16/00 - Information retrievalDatabase structures thereforFile system structures therefor
G06F 16/48 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
G06F 16/783 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
G06N 7/00 - Computing arrangements based on specific mathematical models
70.
OPTIMIZING MEDIA FINGERPRINT RETENTION TO IMPROVE SYSTEM RESOURCE UTILIZATION
Provided are devices, computer-program products, and methods for removing redundant data associated with frames. For example, a method can include receiving an initial frame, determining initial cue data for the initial frame, and sending the initial cue data to a server. The method can further include receiving a new frame and determining new cue data for the new frame. The method can further include identifying a pixel value range. The method can further include determining a pixel value difference between an initial pixel data sample and a new pixel data sample. The method can further include determining the pixel value difference is within the pixel value range and updating the new cue data by removing the new pixel data sample from the new cue data when the pixel value difference is within the pixel value range. The method can further include sending the updated new cue data to the server.
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06F 17/30 - Information retrieval; Database structures therefor
71.
SYSTEMS AND METHODS FOR PARTITIONING SEARCH INDEXES FOR IMPROVED EFFICIENCY IN IDENTIFYING MEDIA SEGMENTS
Systems and methods for identifying a media segment of audio or video content are disclosed. The video segment is identified by deriving data from media content and comparing said data to a reference database in order to identify said video segment. Embodiments of the invention improve the speed and accuracy of the media identification process by advantageously partitioning the indexes in subdivisions where high value reference information is separated from the bulk information, for example.
G06F 17/30 - Information retrieval; Database structures therefor
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
72.
SYSTEM AND METHOD FOR IMPROVING WORK LOAD MANAGEMENT IN ACR TELEVISION MONITORING SYSTEM
Systems and methods for optimizing resource utilization of an automated content recognition (ACR) system by delaying the identification of certain large quantities of media cue data are disclosed. The delayed identification of the media may be for the purpose of, for example, generating usage statistics or other non-time critical work flow, among other non-real-time uses. In addition, real-time identification of a certain subset of media cue data is performed for the purposes of video program substitution, interactive television opportunities or other time-specific events.
H04N 21/231 - Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers or prioritizing data for deletion
Provided are systems, methods, and computer-program products for identifying a media content stream when the media content stream is playing an unscheduled media segment. A computing device may receive a plurality of media content streams, where at least two of the plurality of media content streams concurrently includes a same unscheduled media segment. The computing device may determine that the media display device is playing the unscheduled media segment by examining the media content available at the current time in each of the plurality of media content streams. The computing device may determine identification information from the media content included in the media content stream. The computing device may determine contextually-related content, which may be disabled while the unscheduled media segment is being played by the media display device. The computing device may display the media content stream and the contextually-related content after the unscheduled media segment has been played.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/454 - Content filtering, e.g. blocking advertisements
Provided are devices, computer-program products, and methods for removing redundant data associated with frames. For example, a method can include receiving an initial frame, determining initial cue data for the initial frame, and sending the initial cue data to a server. The method can further include receiving a new frame and determining new cue data for the new frame. The method can further include identifying a pixel value range. The method can further include determining a pixel value difference between an initial pixel data sample and a new pixel data sample. The method can further include determining the pixel value difference is within the pixel value range and updating the new cue data by removing the new pixel data sample from the new cue data when the pixel value difference is within the pixel value range. The method can further include sending the updated new cue data to the server.
H04N 19/182 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a pixel
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/80 - Generation or processing of content or additional data by content creator independently of the distribution processContent per se
Provided are systems, methods, and computer-program products for identifying a media content stream when the media content stream is playing an unscheduled media segment. A computing device may receive a plurality of media content streams, where at least two of the plurality of media content streams concurrently includes a same unscheduled media segment. The computing device may determine that the media display device is playing the unscheduled media segment by examining the media content available at the current time in each of the plurality of media content streams. The computing device may determine identification information from the media content included in the media content stream. The computing device may determine contextually-related content, which may be disabled while the unscheduled media segment is being played by the media display device. The computing device may display the media content stream and the contextually-related content after the unscheduled media segment has been played.
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
Provided are systems, methods, and computer-program products for identifying a media content stream when the media content stream is playing an unscheduled media segment. A computing device may receive a plurality of media content streams, where at least two of the plurality of media content streams concurrently includes a same unscheduled media segment. The computing device may determine that the media display device is playing the unscheduled media segment by examining the media content available at the current time in each of the plurality of media content streams. The computing device may determine identification information from the media content included in the media content stream. The computing device may determine contextually-related content, which may be disabled while the unscheduled media segment is being played by the media display device. The computing device may display the media content stream and the contextually-related content after the unscheduled media segment has been played.
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/84 - Generation or processing of descriptive data, e.g. content descriptors
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 21/2668 - Creating a channel for a dedicated end-user group, e.g. by inserting targeted commercials into a video stream based on end-user profiles
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
77.
System and method for improving work load management in ACR television monitoring system
Systems and methods include optimizing resource utilization of an automated content recognition (ACR) system by delaying the identification of certain large quantities of media cue data. The delayed identification of the media may be for the purpose of, for example, generating usage statistics or other non-time critical work flow, among other non-real-time uses. In addition, real-time identification of a certain subset of media cue data is performed for the purposes of video program substitution, interactive television opportunities or other time-specific events.
G06F 16/48 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
Provided are devices, computer-program products, and methods for improved management of system resources in a matching system. For example, examples can increase the efficiency of system resource utilization by managing the duration that data related to video segments are retained based on data that takes into account an identified popularity of a video segment. The identified popularity can be determined by algorithms that take into account numbers of viewers who watched the video segment, ratings of the video segment, metrics derived from remote sources, or any other factor that can indicate likelihood that the video segment will be viewed.
G06F 17/30 - Information retrieval; Database structures therefor
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
79.
SYSTEMS AND METHODS FOR REDUCING DATA DENSITY IN LARGE DATASETS
Techniques and systems are provided for identifying unknown content. For example, a number of vectors out of a plurality of vectors projected from an origin point can be determined that are between a reference data point and an unknown data point. The number of vectors can be used to estimate an angle between a first vector (from the origin point to a reference data point) and a second vector (from the origin point to an unknown data point). A distance between the reference data point and the unknown data point can then be determined. Using the determined distance, candidate data points can be determined from a set of reference data points. The candidate data points can be analyzed to identify the unknown data point.
Techniques and systems are provided for identifying unknown content. For example, a number of vectors out of a plurality of vectors projected from an origin point can be determined that are between a reference data point and an unknown data point. The number of vectors can be used to estimate an angle between a first vector (from the origin point to a reference data point) and a second vector (from the origin point to an unknown data point). A distance between the reference data point and the unknown data point can then be determined. Using the determined distance, candidate data points can be determined from a set of reference data points. The candidate data points can be analyzed to identify the unknown data point.
Techniques and systems are provided for identifying unknown content. For example, a number of vectors out of a plurality of vectors projected from an origin point can be determined that are between a reference data point and an unknown data point. The number of vectors can be used to estimate an angle between a first vector (from the origin point to a reference data point) and a second vector (from the origin point to an unknown data point). A distance between the reference data point and the unknown data point can then be determined. Using the determined distance, candidate data points can be determined from a set of reference data points. The candidate data points can be analyzed to identify the unknown data point.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Advertising and marketing services; advertising, promotion and marketing services in the fields of market research, consumer behavior, advertising and entertainment; providing business information in the fields market research, consumer behavior, advertising and entertainment; market research, information and data collection services regarding consumers for business purposes Non-downloadable software for use in the detection, collection and systematizing of video, advertisements, television programming information and other multimedia content and transmission of such content via communications networks; software for use in televisions, audio equipment, mobile devices, computers and other electronic devices for the purpose of market research, consumer behavior, advertising and entertainment, namely, non-downloadable software for the detection, collection and systematizing of audio and audio-visual information and data and other multimedia content; Non-downloadable software to enable the directing of entertainment, advertisements and other multimedia content to consumers based on consumer behavior; providing temporary use of non-downloadable software available online for third parties to access content and data in the fields of market research, consumer behavior, advertising and entertainment
42 - Scientific, technological and industrial services, research and design
Goods & Services
Advertising and marketing services; advertising, promotion and marketing services in the fields of market research, consumer behavior, advertising and entertainment; providing business information in the fields market research, consumer behavior, advertising and entertainment; market research, information and data collection services regarding consumers for business purposes Non-downloadable software for use in the detection, collection and systematizing of video, advertisements, television programming information and other multimedia content and transmission of such content via communications networks; software for use in televisions, audio equipment, mobile devices, computers and other electronic devices for the purpose of market research, consumer behavior, advertising and entertainment, namely, non-downloadable software for the detection, collection and systematizing of audio and audio-visual information and data and other multimedia content; non-downloadable software to enable the directing of entertainment, advertisements and other multimedia content to consumers based on consumer behavior; providing temporary use of non-downloadable software available online for third parties to access content and data in the fields of market research, consumer behavior, advertising and entertainment
84.
METHODS FOR IDENTIFYING VIDEO SEGMENTS AND DISPLAYING OPTION TO VIEW FROM AN ALTERNATIVE SOURCE AND/OR ON AN ALTERNATIVE DEVICE
Techniques and systems are provided for identifying a video segment displayed on a screen of a remote television system, and providing an option to switch to an alternative or related version of the video program that includes the video segment. For example, video segments displayed on a screen of a television system can be identified, and contextually-targeted content or contextually-related alternative content can be provided to a television system based on the identification of a video segment. The alternative or related version of the video program can include the currently displayed program in an on-demand format that can be viewed off-line and can be started over from a beginning portion of the program.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/472 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
H04N 21/4722 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content
85.
Methods for identifying video segments and displaying option to view from an alternative source and/or on an alternative device
Techniques and systems are provided for identifying a video segment displayed on a screen of a remote television system, and providing an option to switch to an alternative or related version of the video program that includes the video segment. For example, video segments displayed on a screen of a television system can be identified, and contextually-targeted content or contextually-related alternative content can be provided to a television system based on the identification of a video segment. The alternative or related version of the video program can include the currently displayed program in an on-demand format that can be viewed off-line and can be started over from a beginning portion of the program.
H04N 21/2343 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/472 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/4722 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content
86.
METHODS FOR IDENTIFYING VIDEO SEGMENTS AND DISPLAYING OPTION TO VIEW FROM AN ALTERNATIVE SOURCE AND/OR ON AN ALTERNATIVE DEVICE
Techniques and systems are provided for identifying a video segment displayed on a screen of a remote television system, and providing an option to switch to an alternative or related version of the video program that includes the video segment. For example, video segments displayed on a screen of a television system can be identified, and contextually-targeted content or contextually-related alternative content can be provided to a television system based on the identification of a video segment. The alternative or related version of the video program can include the currently displayed program in an on-demand format that can be viewed off-line and can be started over from a beginning portion of the program.
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/472 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
H04N 21/4722 - End-user interface for requesting content, additional data or servicesEnd-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content for requesting additional data associated with the content
H04N 21/658 - Transmission by the client directed to the server
87.
SYSTEM AND METHOD FOR CONTINUOUS MEDIA SEGMENT IDENTIFICATION
This invention provides a means to identify unknown media programming using the audio component of said programming. The invention extracts audio information from the media received by consumer electronic devices such as smart TVs and TV set-top boxes then conveys said information to a remote server means which will in turn identify said audio information of unknown identity by way of testing against a database of known audio segment information. The system identifies unknown media programming in real-time such that time-sensitive services may be offered such as interactive television applications providing contextually related information or television advertisement substitution. Other uses include tracking media consumption among many other services.
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/43 - Processing of content or additional data, e.g. demultiplexing additional data from a digital video streamElementary client operations, e.g. monitoring of home network or synchronizing decoder's clockClient middleware
This invention provides a means to identify unknown media programming using the audio component of said programming. The invention extracts audio information from the media received by consumer electronic devices such as smart TVs and TV set-top boxes then conveys said information to a remote server means which will in turn identify said audio information of unknown identity by way of testing against a database of known audio segment information. The system identifies unknown media programming in real-time such that time-sensitive services may be offered such as interactive television applications providing contextually related information or television advertisement substitution. Other uses include tracking media consumption among many other services.
H04N 21/233 - Processing of audio elementary streams
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video streamRemultiplexing of multiplex streamsInsertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rateAssembling of a packetised elementary stream
H04N 21/278 - Content descriptor database or directory service for end-user access
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
89.
System and method for continuous media segment identification
This invention provides a means to identify unknown media programming using the audio component of said programming. The invention extracts audio information from the media received by consumer electronic devices such as smart TVs and TV set-top boxes then conveys said information to a remote server means which will in turn identify said audio information of unknown identity by way of testing against a database of known audio segment information. The system identifies unknown media programming in real-time such that time-sensitive services may be offered such as interactive television applications providing contextually related information or television advertisement substitution. Other uses include tracking media consumption among many other services.
G10L 21/00 - Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
G06F 17/30 - Information retrieval; Database structures therefor
G10L 25/54 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for retrieval
G10L 25/12 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being prediction coefficients
G10L 25/06 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being correlation coefficients
90.
Monitoring individual viewing of television events using tracking pixels and cookies
A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.
G06F 17/30 - Information retrieval; Database structures therefor
G06Q 30/02 - MarketingPrice estimation or determinationFundraising
H04N 21/262 - Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission or generating play-lists
H04N 5/445 - Receiver circuitry for displaying additional information
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/478 - Supplemental services, e.g. displaying phone caller identification or shopping application
91.
Systems and methods for addressing a media database using distance associative hashing
A system, method and computer program utilize a distance associative hashing algorithmic means to provide a highly efficient means to rapidly address a large database. The indexing means can be readily subdivided into a plurality of independently-addressable segments where each such segment can address a portion of related data of the database where the sub-divided indexes of said portions reside entirely in the main memory of each of a multiplicity of server means. The resulting cluster of server means, each hosting an addressable sector of a larger database of searchable audio or video information, provides a significant improvement in the latency and scalability of an Automatic Content Recognition system, among other uses.
H04N 5/445 - Receiver circuitry for displaying additional information
G06F 3/00 - Input arrangements for transferring data to be processed into a form capable of being handled by the computerOutput arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
G06F 13/00 - Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
G06F 17/30 - Information retrieval; Database structures therefor
H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
H04N 21/439 - Processing of audio elementary streams
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/231 - Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers or prioritizing data for deletion
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
H04N 21/478 - Supplemental services, e.g. displaying phone caller identification or shopping application
92.
TRACKING PIXELS AND COOKIES FOR TELEVISION EVENT VIEWING
A real-time content identification and tracking system enabling monitoring of television programming consumption specific to an individual television or other viewing device. Metrics collected may include data regarding viewing of specific broadcast media, commercial messages, interactive on-screen information or other programming, as well as locally cached, time-shifted programming. Information about media consumption by such specific television sets or other viewing means may be returned to a commercial client of the system through a trusted third-party intermediary service and, in certain embodiments, encoded tokens may be used to manage the display of certain events as well as to enable robust auditing of each involved party's contractual performance.
H04H 60/33 - Arrangements for monitoring the users' behaviour or opinions
H04N 21/258 - Client or end-user data management, e.g. managing client capabilities, user preferences or demographics or processing of multiple end-users preferences to derive collaborative data
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
Systems and methods for identifying which video segment is being displayed on a screen of a television system. The video segment is identified by deriving date from the television signals, the derived data being indicative of the video segment being displayed on file screen. This feature can be used to extract a viewer's reaction (such as changing the channel) to a specific video segment (such as an advertisement) and reporting the extracted information as metrics. The systems and methods may further provide contextually targeted content to the television system. The contextual targeting is based on not only identification of the video segment being displayed, hut also a determination concerning the playing time or offset time of the particular portion of the video segment being currently displayed.
H04N 5/445 - Receiver circuitry for displaying additional information
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
A system and method for the identification of specific video segments in a video program, such as certain TV commercials, is presented. A means is described for an accelerated identification of the video segment of interest in conjunction with a means to communicate said information to a process in a remote television system such that the remote television system can anticipate the future start of said video segment of interest and display contextually related material in close proximity to the start of said video segment.
H04H 60/37 - Arrangements for identifying or recognising characteristics with a direct linkage to broadcast information or to broadcast space-time, e.g. for identifying broadcast stations or for identifying users for identifying segments of broadcast information, e.g. scenes or extracting programme ID
H04H 60/66 - Arrangements for services using the result of monitoring, identification or recognition covered by groups or for using the result on distributors' side
95.
SYSTEMS AND METHODS FOR IDENTIFYING VIDEO SEGMENTS FOR DISPLAYING CONTEXTUALLY RELEVANT CONTENT
A system and method for the identification of specific video segments in a video program, such as certain TV commercials, is presented. A means is described for an accelerated identification of the video segment of interest in conjunction with a means to communicate said information to a process in a remote television system such that the remote television system can anticipate the future start of said video segment of interest and display contextually related material in close proximity to the start of said video segment.
H04N 21/2668 - Creating a channel for a dedicated end-user group, e.g. by inserting targeted commercials into a video stream based on end-user profiles
96.
SYSTEMS AND METHODS FOR REAL-TIME TELEVISION AD DETECTION USING AN AUTOMATED CONTENT RECOGNITION DATABASE
A system and method for the automated real-time detection and processing of commercial messages, public service announcements or similar short-duration, repeated TV programing segments occurring in one or more broadcast video steams is described. A process is utilized that identifies possible commercial segments by identifying discrete video segments that have specific short durations among other attributes. Video segments that appear to have these characteristics are considered likely to be television commercials, promotions, or public service announcements and are stored in a TV Ad database which is separate from the primary television content database. Incoming video from a plurality of television programming sources is process into fingerprints and placed in a master TV content database. At the same time, said incoming programming is tested for matches in a TV ad database. If a match is found, then the presumed TV ad is removed from the master content database.
H04N 21/2668 - Creating a channel for a dedicated end-user group, e.g. by inserting targeted commercials into a video stream based on end-user profiles
97.
SYSTEMS AND METHODS FOR ADDRESSING A MEDIA DATABASE USING DISTANCE ASSOCIATIVE HASHING
A system, method and computer program utilize a distance associative hashing algorithmic means to provide a highly efficient means to rapidly address a large database. The indexing means can be readily subdivided into a plurality of independently-addressable segments where each such segment can address a portion of related data of the database where the subdivided indexes of said portions reside entirely in the main memory of each of a multiplicity of server means. The resulting cluster of server means, each hosting an addressable sector of a larger database of searchable audio or video information, provides a significant improvement in the latency and scalability of an Automatic Content Recognition system, among other uses.
G06F 16/40 - Information retrievalDatabase structures thereforFile system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
G06F 16/70 - Information retrievalDatabase structures thereforFile system structures therefor of video data
H04N 21/8352 - Generation of protective data, e.g. certificates involving content or source identification data, e.g. UMID [Unique Material Identifier]
H04N 21/845 - Structuring of content, e.g. decomposing content into time segments
98.
Systems and methods for real-time television ad detection using an automated content recognition database
A system and method for the automated real-time detection and processing of commercial messages, public service announcements or similar short-duration, repeated TV programming segments occurring in one or more broadcast video steams is described. A process is utilized that identifies possible commercial segments by identifying discrete video segments that have specific short durations among other attributes. Video segments that appear to have these characteristics are considered likely to be television commercials, promotions, or public service announcements and are stored in a TV Ad database which is separate from the primary television content database. Incoming video from a plurality of television programming sources is process into fingerprints and placed in a master TV content database. At the same time, said incoming programming is tested for matches in a TV ad database. If a match is found, then the presumed TV ad is removed from the master content database.
H04N 7/16 - Analogue secrecy systemsAnalogue subscription systems
H04H 60/32 - Arrangements for monitoring conditions of receiving stations, e.g. malfunction or breakdown of receiving stations
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
A system, method and computer program utilize a distance associative hashing algorithmic means to provide a highly efficient means to rapidly address a large database. The indexing means can be readily subdivided into a plurality of independently-addressable segments where each such segment can address a portion of related data of the database where the sub-divided indexes of said portions reside entirely in the main memory of each of a multiplicity of server means. The resulting cluster of server means, each hosting an addressable sector of a larger database of searchable audio or video information, provides a significant improvement in the latency and scalability of an Automatic Content Recognition system, among other uses.
H04N 7/16 - Analogue secrecy systemsAnalogue subscription systems
H04H 60/32 - Arrangements for monitoring conditions of receiving stations, e.g. malfunction or breakdown of receiving stations
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 5/445 - Receiver circuitry for displaying additional information
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
A system and method for the identification of specific video segments in a video program, such as certain TV commercials, is presented. A means is described for an accelerated identification of the video segment of interest in conjunction with a means to communicate said information to a process in a remote television system such that the remote television system can anticipate the future start of said video segment of interest and display contextually related material in close proximity to the start of said video segment.
H04N 7/16 - Analogue secrecy systemsAnalogue subscription systems
H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video streamRemultiplexing of multiplex streamsInsertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rateAssembling of a packetised elementary stream
H04N 21/235 - Processing of additional data, e.g. scrambling of additional data or processing content descriptors
H04N 21/24 - Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth or upstream requests
H04N 21/435 - Processing of additional data, e.g. decrypting of additional data or reconstructing software from modules extracted from the transport stream
H04N 21/658 - Transmission by the client directed to the server
H04N 5/445 - Receiver circuitry for displaying additional information
H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
H04N 21/45 - Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/462 - Content or additional data management e.g. creating a master electronic program guide from data received from the Internet and a Head-end or controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
H04N 5/765 - Interface circuits between an apparatus for recording and another apparatus
H04N 9/82 - Transformation of the television signal for recording, e.g. modulation, frequency changingInverse transformation for playback the individual colour picture signal components being recorded simultaneously only
H04N 21/442 - Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed or the storage space available from the internal hard disk
H04N 21/466 - Learning process for intelligent management, e.g. learning user preferences for recommending movies
H04N 21/478 - Supplemental services, e.g. displaying phone caller identification or shopping application
