Produits et services

Ginseng for medicinal purposes; Chinese boxthorn fruits for medical purposes; protein supplements; ejiao [donkey-hide gelatin] for Chinese medicinal use; cordyceps sinensis for medical purposes; patches containing pharmaceutical preparations; qingliang oils [balms for medical purposes]; antibacterial soap; antibacterial handwashes; medicated soap; medicines for human purposes; radioactive medicines; oxygen baths; chemical conductors for electrocardiograph electrodes; semen for artificial insemination; disinfectants; contact lens cleaning preparations; nutritive substances for microorganisms; vitamin preparations; Chinese crude medicines; ginseng granules for medical purposes; dietetic substances adapted for medical use; nutritional supplements; protein dietary supplements; lecithin dietary supplements; powdered milk for babies; air purifying preparations; veterinary preparations; pesticides; mosquito-repellent incense; sanitary towels; babies' diaper-pants; disinfectant wipes; first aid kits; cotton swabs for medical purposes; dental lacquer; diapers for pets.

Abrégé

Disclosed in embodiments of the present application are a text generation method and apparatus, a device, and a storage medium. The method comprises: acquiring first texts generated at a previous moment; determining a plurality of first candidate words corresponding to each first text, and using each first candidate word as a suffix of the first text to generate a plurality of first candidate texts; traversing and combining the plurality of first candidate texts corresponding to the preset number of first texts to determine a plurality of candidate text sets; on the basis of each word in each first candidate text, determining repeated words in each candidate text set, and performing penalty processing on word scores corresponding to the repeated words to determine target scores corresponding to the repeated words; on the basis of the target scores corresponding to the repeated words in each candidate text set and word scores corresponding to non-repeated words, determining a set score corresponding to each candidate text set; and determining a target text set on the basis of the set score, and, on the basis of the target text set, determining second texts generated at a current moment.

Classes IPC  ?

• G06F 40/166 - Édition, p. ex. insertion ou suppression

Abrégé

The present disclosure provides a multi-modal pre-training method and apparatus. The method includes: sampling a video in a video-text pair to obtain a first video frame sequence; performing word segmentation processing on a text in the video-text pair to obtain a first word segmentation sequence; masking on the first video frame sequence to obtain a second video frame sequence; masking on the first word segmentation sequence to obtain a second word segmentation sequence; encoding the first video frame sequence to obtain a first video feature, and encoding the first word segmentation sequence to obtain a first word segmentation feature; encoding the second video frame sequence to obtain a second video feature, and encoding the second word segmentation sequence to obtain a second word segmentation feature; performing multi-modal pre-training by using the first video feature, the first word segmentation feature, the second video feature and the second word segmentation feature.

Classes IPC  ?

• G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
• G06F 40/279 - Reconnaissance d’entités textuelles
• G06F 40/40 - Traitement ou traduction du langage naturel
• G06V 10/42 - Extraction de caractéristiques globales par l’analyse du motif entier, p. ex. utilisant des transformations dans le domaine de fréquence ou d’autocorrélation
• G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
• G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo

Abrégé

The present disclosure relates to a three-dimensional point cloud data processing method and apparatus, and an unmanned vehicle. The method of the present disclosure comprises: acquiring three-dimensional point cloud data; according to a first encoding mode and a second encoding mode, determining a first relative position code and a second relative position code of the three-dimensional point cloud data, wherein the first encoding mode is a relative position encoding mode where a target rotates relative to a collection apparatus during the collection of the three-dimensional point cloud data, and the second encoding mode is a relative position encoding mode where the position of the target relative to the collection apparatus does not change during the collection of the three-dimensional point cloud data; on the basis of an attention mechanism, determining the weight of the first encoding mode and the weight of the second encoding mode, which correspond to each point in the three-dimensional point cloud data; and extracting features of the three-dimensional point cloud data according to the weight of the first encoding mode and the weight of the second encoding mode, which correspond to each point in the three-dimensional point cloud data, and the first relative position code and the second relative position code of the three-dimensional point cloud data.

Classes IPC  ?

• G06T 9/00 - Codage d'image

Abrégé

Disclosed in the embodiments of the present disclosure are a prediction information generation method and apparatus, and a device, a medium and a program product. A specific embodiment of the method comprises: acquiring feature data for a plurality of article demand influence features, which feature data corresponds to a target article; determining, according to the feature data, an article category corresponding to the target article; determining, according to the article category, at least one piece of information to be predicted for the target article; generating at least one piece of first feature demand prediction information for a target time according to at least one first feature demand prediction model and the feature data; and inputting the at least one piece of first feature demand prediction information and the feature data into a pre-trained second feature demand prediction model, so as to generate at least one piece of second feature demand prediction information for the target time, and total demand amount prediction information.

Classes IPC  ?

• G06Q 30/0202 - Prédictions ou prévisions du marché pour les activités commerciales

Abrégé

Disclosed in the embodiments of the present disclosure are an article identifier information generation method and apparatus, and a device, a medium and a program product. A specific embodiment of the method comprises: acquiring an article information set corresponding to an article identifier set; for each article identifier, according to a historical information set comprised in article information in the article information set which corresponds to the article identifier, generating indicator information corresponding to a target article value type; according to each piece of article attribute information and each piece of generated indicator information, generating an article feature matrix corresponding to the article identifier set; according to each piece of indicator information, the article feature matrix and a preset optimization object, selecting from the article identifier set an article identifier that meets a preset constraint condition; and according to each article identifier, generating circulating article identifier information.

Classes IPC  ?

• G06Q 30/0601 - Commerce électronique [e-commerce]

Abrégé

Provided are a face image encryption/decryption method and apparatus, an electronic device, a storage medium, a computer program product, and a computer program. The face image encryption method comprises: performing frequency domain processing on an original face image to obtain N frequency domain face images at different frequencies, wherein N is a positive integer; obtaining encryption seeds; performing convolutional encryption on the encryption seeds and the N frequency domain face images to obtain respective encrypted frequency domain face images of the N frequency domain face images; and performing frequency domain inverse processing on the N encrypted frequency domain face images to obtain an encrypted face image.

Classes IPC  ?

• G06T 1/00 - Traitement de données d'image, d'application générale
• G06T 5/10 - Amélioration ou restauration d'image utilisant le filtrage dans le domaine non spatial

Abrégé

Provided in the present application are an action migration method and apparatus, and a terminal device and a storage medium. The method comprises: acquiring a key-point connection graph of a first object in a drive image and a first segmentation image of each preset area of a second object in a source image, wherein the key-point connection graph is used for representing a drive posture of the first object; according to the key-point connection graph and the first segmentation image, generating a second segmentation image, which conforms to the drive posture, of each preset area; generating a second foreground image of the second object in the drive posture according to the second segmentation images of a plurality of preset areas and a first foreground image of the source image; and fusing the second foreground image with a first background image of the source image to obtain an action migration image. By means of the technical solution, a realistic action migration image is obtained.

Classes IPC  ?

• G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion

Abrégé

Disclosed in the embodiments of the present disclosure are a target detection method and apparatus. A particular embodiment of the method comprises: acquiring a two-dimensional image including a target to be detected; and inputting the image into a pre-trained target detection network, so as to obtain spatial position information of said target, wherein the target detection network comprises a front-view position detection network, an aerial-view position detection network and a position combination network, the front-view position detection network is used for determining position information of said target under a front angle of view, the aerial-view position detection network is used for determining position information of said target under an aerial angle of view, and the position combination network is used for combining the position information respectively determined by the front-view position detection network and the aerial-view position detection network, so as to obtain the spatial position information of said target.

Classes IPC  ?

• G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras

Abrégé

Provided in the embodiments of the present invention are a video generation method and apparatus, and a computer-readable storage medium. The method comprises: acquiring an audio-video sequence of a real object; performing feature extraction on the audio-video sequence, and determining anthropomorphic features; by using a virtual prediction network, preset standard features and first features, predicting the anthropomorphic features to generate a video sequence of a virtual object, the preset standard features being features corresponding to a reference object, the first features representing different attitudes, and the video sequence of the virtual object being a video sequence that generates corresponding reactions of the virtual object on the basis of the audio-video sequence of the real object; and presenting the video sequence of the virtual object. In the embodiments of the present invention, the video sequence of the virtual object is generated on the basis of the audio-video sequence of the real object, making the presented video sequence of the virtual object more vivid and accurate.

Classes IPC  ?

• H04N 5/262 - Circuits de studio, p. ex. pour mélanger, commuter, changer le caractère de l'image, pour d'autres effets spéciaux

Abrégé

A method of managing a resource is provided, including: creating, in response to an operation of a user joining in a proprietary cloud platform, a shadow account for the user on the proprietary cloud platform; determining a resource pool corresponding to the shadow account; and accessing, in response to the user accessing the proprietary cloud platform, a resource in the resource pool corresponding to the shadow account based on a preset access policy. An apparatus of managing a resource, a computer system, and a computer-readable storage medium are further provided.

Classes IPC  ?

• H04L 47/80 - Actions liées au type d'utilisateur ou à la nature du flux
• H04L 47/783 - Allocation distribuée des ressources, p. ex. courtiers en bande passante

Abrégé

Provided is a method and an apparatus for acquiring a gene information of a proprietary cloud container cluster, the method includes: acquiring and analyzing a system hierarchical information, an association relationship information and a dependency relationship information of a module or a component of a proprietary cloud server cluster; generating a set of a gene information of a proprietary cloud container cluster through the acquired system hierarchical information, the association relationship information and the dependency relationship information of the module or the component, and performing an integrity verification on the set of the gene information of the proprietary cloud container cluster; and storing the set of the gene information of the proprietary cloud container cluster and determining a version information of a gene of the proprietary cloud container cluster, in response to the integrity verification passing.

Classes IPC  ?

• H04L 41/08 - Gestion de la configuration des réseaux ou des éléments de réseau
• G06F 16/901 - IndexationStructures de données à cet effetStructures de stockage
• G06F 16/904 - NavigationVisualisation à cet effet
• G16B 45/00 - TIC spécialement adaptées à la visualisation de données liées à la bio-informatique, p. ex. affichage de cartes ou de réseaux
• G16B 50/30 - Entreposage de donnéesArchitectures informatiques

Abrégé

A method and an apparatus for updating a cloud platform are provided. The method may include: in response to receiving a cloud platform update request, acquiring to-be-used updating cluster gene information corresponding to the cloud platform update request, wherein the to-be-used updating cluster gene information is structured information that completely represents information of components in a cloud platform container cluster; updating a standard cloud platform gene library according to a comparison result between the to-be-used updating cluster gene information and cluster gene information of a current standard cloud platform, wherein the standard cloud platform is a unified cloud platform on which a customer-specific cloud platform is deployed; and determining, according to an updated standard cloud platform gene library, a hardware resource of a final standard cloud platform and a software resource of the final standard cloud platform.

Classes IPC  ?

• G06F 8/65 - Mises à jour
• H04L 67/10 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau
• H04L 67/00 - Dispositions ou protocoles de réseau pour la prise en charge de services ou d'applications réseau

Abrégé

The present disclosure relates to the field of artificial intelligence. Provided are a deep rendering model training method and apparatus, and a target rendering method and apparatus. The deep rendering model training method comprises: by means of preset control parameters, rendering a target to be rendered, so as to generate a sample image frame; inputting the control parameters into a machine learning model; inputting into the machine learning model a tensor to be processed, so as to render said tensor according to the control parameters by using the machine learning model, thereby generating a rendered image frame; according to the rendered image frame and the sample image frame, determining a loss function value; and training the machine learning model and said tensor by using the loss function value so as to generate a deep rendering model and a target tensor. The target rendering method comprises: acquiring control parameters associated with a rendering target; and inputting the control parameters into the deep rendering model so as to render the target tensor according to the control parameters by using the deep rendering model to generate an image frame.

Classes IPC  ?

• G06T 15/20 - Calcul de perspectives

Abrégé

A method and an apparatus for updating a cloud platform are provided. The method may include: in response to receiving an update request, acquiring cluster gene information of a to-be-updated cloud platform corresponding to the update request, the cluster gene information being structured information that entirely represents information of each component in a cloud platform container cluster; determining, on the basis of the cluster gene information, each target component of the to-be-updated cloud platform corresponding to the cluster gene information and a level to which each target component belongs; updating each target component, on the basis of the level to which each target component belongs and the cluster gene information of the corresponding target component; and determining a hardware resource of the to-be-updated cloud platform and a software resource of the to-be-updated cloud platform, based on all of the updated target components.

Classes IPC  ?

• G06F 8/65 - Mises à jour
• G06F 8/61 - Installation
• G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
• G06F 9/48 - Lancement de programmes Commutation de programmes, p. ex. par interruption
• G06F 9/54 - Communication interprogramme

Abrégé

A method of reconstructing and verifying a proprietary cloud based on state transition is provided, including: obtaining information of an underlying infrastructure platform of a proprietary cloud server cluster to be constructed; if the underlying infrastructure platform meets the deployment requirement, obtaining cluster gene information of a standard proprietary cloud platform, and performing refactoring of an underlying system component, refactoring of an underlying dependency component and refactoring of a product line of a proprietary cloud platform according to the cluster gene information and a state of the proprietary cloud server cluster to be constructed; obtaining user demand information, configuring the cluster gene information according to the user demand information, and selecting a product line component of the standard proprietary cloud platform for deployment, so as to obtain a reconstructed proprietary cloud platform; and verifying a correctness and an effectiveness of a component of the reconstructed proprietary cloud platform.

Classes IPC  ?

• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]

Abrégé

A method and an electronic device for pedestrian re-identification are provided. The method may include: collecting a target image set including at least two target images, where each target image includes at least one person; extracting a global feature and a head-shoulder feature of each person in each target image in the target image set, where the global feature is an overall appearance feature, and the head-shoulder feature is a feature of a head part and a shoulder part determining a representation feature of each person in each target image based on the global feature and the head-shoulder feature of each person in each target image; and determining a given person in different target images based on the representation feature of each person in each target image.

Classes IPC  ?

• G06V 10/42 - Extraction de caractéristiques globales par l’analyse du motif entier, p. ex. utilisant des transformations dans le domaine de fréquence ou d’autocorrélation
• G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
• G06V 10/70 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique
• G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
• G06V 40/10 - Corps d’êtres humains ou d’animaux, p. ex. occupants de véhicules automobiles ou piétonsParties du corps, p. ex. mains

Abrégé

A method and an apparatus of creating a container, an electronic device, and a storage medium. The method includes: acquiring an available rack list and an available network address list, the available rack list including a plurality of available racks of different available zones, each available rack including at least one server node, the available network address list including at least one available network address; locating a spare server node in the available racks in the available rack list; creating, on the spare server node, a current container corresponding to the available network address; updating the available network address list; re-ordering the available racks in the available rack list according to resource occupation information of the available racks in the available rack list; and creating another container according to a spare server node in the re-ordered available racks in the available rack list and the updated available network address list.

Classes IPC  ?

• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]

Abrégé

A method of processing order information is provided, including: acquiring order information including information of a designated address and at least one designated item; acquiring warehouse information including inventory information and distribution information of the plurality of warehouses. Then, the order information and the warehouse information are processed using a pre-built optimization model, so as to determine at least one distribution warehouse according to an output result of the optimization model, so that a sum of a first numerical value and a second numerical value is less than or equal to a predetermined value. The first numerical value characterizes a delivery duration to deliver the at least one designated item from the at least one distribution warehouse to the designated address, and the second numerical value characterizes a delivery fee for delivering the at least one designated item from the at least one distribution warehouse to the designated address.

Classes IPC  ?

• G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
• G06Q 10/0834 - Choix des transporteurs

Abrégé

The present disclosure relates to a broadcast directing method, apparatus and system, and a non-transitory computer-storable medium, which relate to the technical field of computers. The broadcast directing method includes acquiring a reference video stream from a reference camera position; performing event recognition on the reference video stream to obtain at least one reference event frame interval; determining a local sequence of each reference event frame interval according to a correspondence relationship between the event and a camera position identification, the local sequence comprising a camera position identification of each frame image of a video to be played corresponding to the reference event frame interval and a frame identification corresponding to the camera position identification; generating a broadcast directing sequence according to the local sequence; and generating a broadcast directing video according to the broadcast directing sequence and a video stream of a camera position.

Classes IPC  ?

• H04N 21/472 - Interface pour utilisateurs finaux pour la requête de contenu, de données additionnelles ou de servicesInterface pour utilisateurs finaux pour l'interaction avec le contenu, p. ex. pour la réservation de contenu ou la mise en place de rappels, pour la requête de notification d'événement ou pour la transformation de contenus affichés
• G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
• G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
• H04N 21/2187 - Transmission en direct
• H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé

Abrégé

Disclosed are a blockchain-based data storage method, system and apparatus. An implementation solution is: in response to receiving a matching result sent by a computing node, acquiring data to be stored of a requesting node the node information being obtained by the computing node from a first blockchain; initiating a transaction according to the data to be stored of the requesting node, and generating transaction data corresponding to the data to be stored of the requesting node; verifying the transaction according to metadata; receiving a result sent by the requesting node that the verification is passed; and in response to the transaction passing the verification and receiving the result sent by the requesting node that the verification is passed, storing the transaction data in a second blockchain.

Classes IPC  ?

• G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
• H04L 67/1097 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau pour le stockage distribué de données dans des réseaux, p. ex. dispositions de transport pour le système de fichiers réseau [NFS], réseaux de stockage [SAN] ou stockage en réseau [NAS]
• G06F 16/903 - Requêtes
• G06F 16/901 - IndexationStructures de données à cet effetStructures de stockage

Abrégé

The present disclosure provides a method, a device, and a system for protecting privacy. The method for protecting privacy includes: acquiring video information collected by a camera; performing video segmentation processing on the video information to obtain an original video frame; detecting whether the original video frame comprises privacy information; masking an area comprising the privacy information in the original video frame to generate a masked frame under a condition that the original video frame comprises the privacy information, and taking the masked frame as an output video frame; and taking the original video frame as the output video frame under a condition that the original video frame does not comprise the privacy information.

Classes IPC  ?

• G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès

Abrégé

A multi-modal pre-training method and device. The multi-modal pre-training method comprises: sampling a video in a video-text pair to obtain a first video frame sequence, and performing word segmentation processing on text in the video-text pair to obtain a first word segmentation sequence (101); performing mask processing on the first video frame sequence to obtain a second video frame sequence, and performing mask processing on the first word segmentation sequence to obtain a second word segmentation sequence (102); encoding the first video frame sequence to obtain a first video feature, and encoding the first word segmentation sequence to obtain a first word segmentation feature (103); encoding the second video frame sequence to obtain a second video feature, and encoding the second word segmentation sequence to obtain a second word segmentation feature (104); determining a pre-trained objective function by using the first video feature, the first word segmentation feature, the second video feature, and the second word segmentation feature (105); and performing multi-modal pre-training by using the objective function (106).

Classes IPC  ?

• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
• G06F 16/483 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
• G06F 40/289 - Analyse syntagmatique, p. ex. techniques d’états finis ou regroupement

Abrégé

The migration method includes dividing each service system in a first cloud system into a plurality of modules; determining the relation between a module to be migrated among the plurality of modules and other modules; copying said module among the plurality of modules to a second cloud system, the type of the first cloud system being different from that of the second cloud system; and establishing a relation in the second cloud system to complete the migration of the first cloud system. The nature and gist of the present disclosure is that the migration of a module to be migrated in the first cloud system is completed by establishing the association relation of the module to be migrated in the second cloud system.

Classes IPC  ?

• H04L 67/1095 - Réplication ou mise en miroir des données, p. ex. l’ordonnancement ou le transport pour la synchronisation des données entre les nœuds du réseau
• H04L 41/0893 - Affectation de groupes logiques aux éléments de réseau

Abrégé

The present disclosure relates to the technical field of image processing, and in particular to an image description generation method, apparatus and system, and a medium and an electronic device. The method comprises: acquiring one or more image region features in a target image, and obtaining a current input vector by performing a mean pooling on the image region features; obtaining respective outer product vectors of the image region features by respectively linearly fusing the current input vector and each of the image region features; calculating, based on the respective outer product vectors of the image region features, an attention distribution of the image region features in a spatial dimension and an attention distribution of the image region features in a channel dimension; and generating an image description of the target image based on the attention distribution of the image region features in the spatial dimension and the attention distribution of the image region features in the channel dimension.

Classes IPC  ?

• G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
• G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
• G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
• G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
• G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p. ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]Caractéristiques régionales saillantes
• G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification

Abrégé

This disclosure relates to a control method and apparatus of cluster resources, and a cloud computing system, and relates to the field of computer technologies. The method includes: in the case where a to-be-controlled resource is a to-be-expanded resource, determining a binding relationship between the to-be-expanded resource and an application; adding the to-be-expanded resource that is initialized into a resource pool of a corresponding application having the binding relationship with the to-be-expanded resource; generating a to-be-executed data packet of a to-be-processed application according to a deployment type of the to-be-processed application; and deploying the to-be-executed data packet on the to-be-expanded resource in the resource pool of the to-be-processed application for execution.

Classes IPC  ?

• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]

Abrégé

A container scheduling method and apparatus, and a computer-readable storage medium, which relate to the technical field of computers. The method includes: according to a resource usage amount of a container set copy which has run, determining a predicted resource usage amount of a container set copy to be scheduled, wherein the type of container set copy which has run is the same as the type of container set copy to be scheduled; according to the predicted resource usage amount and a resource supply amount supported by each candidate node, determining a candidate node matching the container set copy which has run; and scheduling the container set copy which has run to the matched candidate node for running.

Classes IPC  ?

• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
• G06F 1/3228 - Surveillance d’exécution de tâches, p. ex. par utilisation de temporisations d’attente, de commandes d’arrêt ou de commandes d’attente

Abrégé

A facial parsing method and apparatus, a facial parsing network training method and apparatus, an electronic device and a non-transitory computer-readable storage medium, which relate to the field of artificial intelligence. The facial parsing method includes inputting a facial image into a pre-trained facial parsing neural network; extracting a semantic feature of the facial image by using a semantic perception sub-network; extracting a boundary feature of the facial image by using a boundary perception sub-network; and processing the cascaded semantic feature and boundary feature by using a fusion sub-network, to obtain a facial region to which each pixel in the facial image belongs. The method can improve the resolution capability of a neural network for boundary pixels between different facial regions of a facial image, thereby improving the precision of facial parsing.

Classes IPC  ?

• G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux

Abrégé

Embodiments of the present application provide a text information processing method and apparatus, the method includes: acquiring a phoneme vector corresponding to an individual phoneme and a semantic vector corresponding to the individual phoneme in text information; acquiring first semantic information output at a last moment, wherein the first semantic information is semantic information corresponding to part of the text information in the text information, and the part of the text information is text information that has been converted into voice information; determining a context vector corresponding to a current moment according to the first semantic information, the phoneme vector corresponding to the individual phoneme and the semantic vector corresponding to the individual phoneme; and determining voice information at the current moment according to the context vector and the first semantic information.

Classes IPC  ?

• G10L 13/08 - Analyse de texte ou génération de paramètres pour la synthèse de la parole à partir de texte, p. ex. conversion graphème-phonème, génération de prosodie ou détermination de l'intonation ou de l'accent tonique
• G06F 40/30 - Analyse sémantique

Abrégé

The method comprises: acquiring a task query request (S101); determining a first task according to a feature identification code corresponding to an input end of the task query request (S102); when there are a plurality of first tasks, determining, according to a query keyword contained in the task query request, first feature information of the first tasks, and generating a question prompt according to the first feature information (S103); and receiving feedback information inputted by a user according to the question prompt, and determining, according to the feedback information, a target task corresponding to the task query request from the first tasks (S104). The method can determine a task corresponding to a task query request inputted by a user without the need for a user to use a key template or dictate a task number, thereby improving the user experience.

Classes IPC  ?

• G06F 16/242 - Formulation des requêtes
• G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
• G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet

Abrégé

Disclosed by the present disclosure are a method and apparatus for displaying product comment information, an electronic device and a storage medium. The method for displaying product comment information is executed by a server and specifically comprises: acquiring product comment information of a user, the product comment information comprising comment text; inputting the comment text into a first model established in advance for error correction processing; determining whether the product comment information further comprises a comment image; if the product comment information comprises a comment image, then inputting the error-corrected comment text and the comment image together into a second model established in advance to detect the consistency of the image and the text, and when the image and the text are detected to be consistent, saving the product comment information in a display list; if the product comment information does not comprise a comment image, then directly saving the error-corrected comment text in the display list; and displaying the product comment information in the display list to the user.

Classes IPC  ?

• G06Q 30/00 - Commerce
• G06F 40/30 - Analyse sémantique
• G06F 40/44 - Méthodes statistiques, p. ex. modèles probabilistes
• G06Q 30/0282 - Notation ou évaluation d’opérateurs commerciaux ou de produits
• G06Q 30/0601 - Commerce électronique [e-commerce]

Abrégé

Disclosed are a speech synthesis method and apparatus, and a storage medium. The method comprises: acquiring a symbol sequency of a statement to be synthesized, wherein the statement to be synthesized comprises a recorded statement characterizing a target object and a query result statement for the target object; encoding the symbol sequence by using a pre-set encoding model, in order to obtain a feature vector set; acquiring recording acoustic features corresponding to the recorded statement; predicting, according to a pre-set decoding model, the feature vector set, a pre-set attention model and the recording acoustic features, acoustic features corresponding to the statement to be synthesized, in order to obtain predicted acoustic features corresponding to the statement to be synthesized, wherein the pre-set attention model is a model that uses the feature vector set to generate a context vector used for decoding, and the predicted acoustic features are composed of at least one associated acoustic feature; and performing feature conversion and synthesis on the predicted acoustic features to obtain a speech corresponding to the sentence to be synthesized.

Classes IPC  ?

• G10L 13/047 - Architecture des synthétiseurs de parole
• G10L 13/06 - Unités élémentaires de parole utilisées dans les synthétiseurs de paroleRègles de concaténation
• G10L 25/18 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par le type de paramètres extraits les paramètres extraits étant l’information spectrale de chaque sous-bande

Abrégé

An image paragraph description generating method and apparatus, a medium and an electronic device. The method comprises: obtaining image features of an image (S101); determining the topic of the image according to the image features by using a convolutional automatic coding method (S102); and determining image description information of the image according to the topic by using a long short-term memory (LSTM)-based paragraph coding method (S103), wherein the LSTM comprises a sentence-level LSTM and a paragraph-level LSTM.

Classes IPC  ?

• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
• G06N 3/08 - Méthodes d'apprentissage
• G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
• G06V 10/771 - Sélection de caractéristiques, p. ex. sélection des caractéristiques représentatives à partir d’un espace multidimensionnel de caractéristiques
• G06V 10/776 - ValidationÉvaluation des performances
• G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification

Abrégé

The present disclosure provides a method for processing sentence, including: determining a vector representation of a sentence to be processed; inputting the vector representation of the sentence to be processed to a first recurrent neural network, and updating a state of a hidden layer of the first recurrent neural network as a vector representation of a historical dialogue, wherein, if a processed sentence exists, the state of the hidden layer of the first recurrent neural network is related to the processed sentence; determining a knowledge vector related to the sentence to be processed; and generating a reply sentence based on the vector representation of the historical dialogue and the knowledge vector. The present disclosure further provides a system for processing sentence, an electronic device, and a computer-readable medium.

Classes IPC  ?

• G06F 40/35 - Représentation du discours ou du dialogue
• G06F 40/56 - Génération de langage naturel
• G06N 3/045 - Combinaisons de réseaux
• G06N 5/04 - Modèles d’inférence ou de raisonnement

Abrégé

Disclosed are a method and device for recognizing a video. One specific embodiment of the method comprises: obtaining a video to be identified; inputting said video to a pre-trained local and global representation propagation LGD model to obtain the category of said video, wherein the LGD model learns a spatial-temporal representation in said video based on diffusion between local and global representations. According to this embodiment, the spatial-temporal representation in the video is learned based on diffusion between the local and global representations.

Classes IPC  ?

• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
• G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux

Abrégé

Embodiments of the present application disclose a method and apparatus for detecting a body. A particular embodiment of the method comprises: acquiring a set of candidate body image region in a target image; for a candidate body image region in the set of candidate body image region: acquiring position information and confidences of candidate body key points in the candidate body image region; determining the candidate body key points within a body contour according to body contour information in the candidate body image region and the acquired position information; and determining a confidence score of the candidate body image region according to a sum of the confidences of the candidate body key points within the body contour; and determining a body image region from the set of candidate body image regions according to the confidence scores of the candidate body image regions in set of the candidate body image regions.

Classes IPC  ?

• G06V 40/10 - Corps d’êtres humains ou d’animaux, p. ex. occupants de véhicules automobiles ou piétonsParties du corps, p. ex. mains
• G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
• G06V 10/20 - Prétraitement de l’image
• G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p. ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]Caractéristiques régionales saillantes
• G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
• G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux

Abrégé

The present disclosure provides an image-based search method, which is applied to a server. Said method comprises: according to image content in an image to be searched, extracting a target set from an index library; according to the attribute of each target in the target set, determining the number of targets corresponding to the attribute of each target; and according to the number of targets corresponding to the attribute of each target, sending a display target and the attribute of the display target to a terminal.

Classes IPC  ?

• G06F 16/53 - Requêtes
• G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques

Abrégé

The present disclosure relates to a speech synthesis method and device, and a computer-readable storage medium, and relates to the field of computer technology. The method of the present disclosure includes: dividing a text into a plurality of segments according to a language category to which each of the segments belongs; converting each of the segments into a phoneme corresponding to the segment to generate a phoneme sequence of the text according to the language category to which each of the segments belongs; inputting the phoneme sequence into a speech synthesis model trained in advance and converting the phoneme sequence into a vocoder characteristic parameter; and inputting the vocoder characteristic parameter into a vocoder to generate a speech.

Classes IPC  ?

• G10L 13/08 - Analyse de texte ou génération de paramètres pour la synthèse de la parole à partir de texte, p. ex. conversion graphème-phonème, génération de prosodie ou détermination de l'intonation ou de l'accent tonique
• G10L 13/02 - Procédés d'élaboration de parole synthétiqueSynthétiseurs de parole
• G10L 19/16 - Architecture de vocodeur
• G10L 25/30 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par la technique d’analyse utilisant des réseaux neuronaux

Abrégé

An object virtualization processing method and device, an electronic device and a storage medium, the method comprising: acquiring and displaying a virtual entity model which is constructed according to an actual object and which has editable external features (S101); constructing a virtual scenario that corresponds to an actual scenario and that is acquired by a terminal device according to the real scenario (S102); projecting the virtual entity model into the virtual scenario (S103); and receiving an editing operation for the editable external features of the virtual entity model, adjusting the virtual entity model according to the editing operation to obtain an adjusted virtual entity model, and displaying the adjusted virtual entity model in the virtual scenario (S104).

Classes IPC  ?

• G06Q 30/00 - Commerce
• G06Q 30/0601 - Commerce électronique [e-commerce]
• G06T 19/20 - Édition d'images tridimensionnelles [3D], p. ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties

Abrégé

Disclosed in the embodiments of the present disclosure are an image recognition-based price information processing method and apparatus, a device, and a medium. A specific embodiment of the method comprises: extracting text information from an item display image as text recognition information to obtain a text recognition information set; selecting the text recognition information meeting a first preset condition group from within the text recognition information set as candidate text information; in response to determining that candidate text information comprising information of any price identification keyword in a preset price identification keyword information set is present in a candidate text information set, generating first candidate text information, a second candidate text information set and third candidate text information; generating a first distance value set and a second distance value set; and generating candidate price information on the basis of the second candidate text information set, the first distance value set and the second distance value set. The embodiment improves the accuracy of generated price information.

Classes IPC  ?

• G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail

Abrégé

The present invention provides a template recommendation method for customizing a template library, comprising: acquiring a recommendation rule and a configured template of a target object; determining at least one target recommendation template set among a plurality of recommendation template sets on the basis of the article category range; filtering the configured template from each target recommendation template set in the at least one target recommendation template set to obtain a target recommendation template subset of each target recommendation template set; determining, from the target recommendation template subset of each target recommendation template set, at least one target template as a recommended template on the basis of at least one of a customization item attribution rule, a customization item combination rule, and the article category range of the target object; and sending the recommended template to the target object, so that the target object generates a new customized article on the basis of the recommended template. The present invention also provides a template recommendation device for customizing a template library, a system, and a medium.

Classes IPC  ?

• G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation

Abrégé

The present disclosure provides a resource management method, comprising: in response to an operation that a user settles on a proprietary cloud platform, establishing a shadow account for the user on the proprietary cloud platform; determining a resource pool corresponding to the shadow account; and when the user accesses the proprietary cloud platform, accessing resources in the resource pool corresponding to the shadow account on the basis of a preset access policy. The present disclosure further provides a resource management device, a computer system, and a computer readable storage medium.

Classes IPC  ?

• H04L 67/60 - Ordonnancement ou organisation du service des demandes d'application, p. ex. demandes de transmission de données d'application en utilisant l'analyse et l'optimisation des ressources réseau requises
• H04L 67/10 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau

Abrégé

Provided are a method and apparatus for acquiring private cloud container cluster gene information. The method comprises: acquiring and analyzing system hierarchical information, association relationship information and dependency relationship information of modules or components of a private cloud server cluster; generating a private cloud container cluster gene information set by means of the acquired system hierarchical information, association relationship information and dependency relationship information of the modules or the components, and performing an integrity check on the private cloud container cluster gene information set; and if the integrity check is successful, storing the private cloud container cluster gene information set, and determining version information of a private cloud container cluster gene.

Classes IPC  ?

• H04L 12/24 - Dispositions pour la maintenance ou la gestion

Abrégé

This disclosure relates to a data storage management method and apparatus, and a computer-readable storage medium, and to the technical field of data storage. The method of the present disclosure includes: acquiring the number of accesses of a data storage unit in a big data cluster within a corresponding preset time interval; determining whether the data storage unit belongs to a to-be-destroyed storage unit according to the number of accesses of the data storage unit in the corresponding preset time interval; and issuing a to-be-destroyed prompt under the condition that the data storage unit belongs to a to-be-destroyed storage unit.

Classes IPC  ?

• G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement
• G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
• G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet

Abrégé

The present disclosure provides a state transition-based private cloud reconstruction and verification method and device. The method comprises: obtaining information of an underlying infrastructure platform of a private cloud server cluster to be constructed, and determining whether the underlying infrastructure platform of said private cloud server cluster meets deployment requirements or not; if the underlying infrastructure platform meets the deployment requirements, obtaining cluster gene information of a standard private cloud platform, and according to the cluster gene information and the state of said private cloud server cluster, performing reconstruction of an underlying system component, reconstruction of an underlying dependent component and reconstruction of a private cloud platform product line; obtaining user demand information, configuring the cluster gene information according to the user demand information, selecting a product line component of the standard private cloud platform for deployment, and obtaining a reconstructed private cloud platform; and verifying the correctness and effectiveness of the components of the reconstructed private cloud platform.

Classes IPC  ?

• H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
• H04L 12/24 - Dispositions pour la maintenance ou la gestion

Abrégé

A screen unlocking method and apparatus, and a computer device and a storage medium. The method comprises: obtaining interactive information generated when a user performs a predetermined operation; dynamically updating the generated interactive information to a pre-built interactive information database; upon receiving a screen unlocking request, invoking first interactive information in the database according to a first predetermined mode; generating an unlock tag according to said first interactive information; generating, according to the unlock tag, multiple interference tags that are different from the unlock tag; and sending the unlock tag and the multiple interference tags to a terminal device for display, receiving a user's operation for triggering the unlock tag, and unlocking a screen.

Classes IPC  ?

• G06F 21/31 - Authentification de l’utilisateur
• G06F 21/46 - Structures ou outils d’administration de l’authentification par la création de mots de passe ou la vérification de la solidité des mots de passe

Abrégé

A network resource pushing method, a device, and a storage medium. The method comprises: a server receiving information of a network resource accessed by a user, and information of the environment of the user when the user accessed the network resource (101); the server applying, according to the information of the environment of the user, a pre-established scenario determination model to determine a user scenario (102); the server establishing an association model between the user scenario and the type of network resource accessed by the user (103); and the server receiving information of a current environment of the user, applying the scenario determination model to determine a current scenario corresponding to the information of the current environment of the user, and pushing to the user, according to the association model, a network resource having a type corresponding to the determined current scenario (104).

Classes IPC  ?

• H04L 47/78 - Architectures d'allocation des ressources
• H04L 47/762 - Contrôle d'admissionAllocation des ressources en utilisant l'allocation dynamique des ressources, p. ex. renégociation en cours d'appel sur requête de l'utilisateur ou sur requête du réseau en réponse à des changements dans les conditions du réseau déclenchée par le réseau
• H04L 47/80 - Actions liées au type d'utilisateur ou à la nature du flux
• H04L 67/1021 - Sélection du serveur pour la répartition de charge basée sur la localisation du client ou du serveur

Abrégé

The present disclosure provides a self-service settlement method, apparatus and storage medium, and relates to the technical field of self-service shopping, wherein the method includes: obtaining a monitoring image acquired by an image capture device and corresponding to commodities to be settled which are placed on a settlement counter; obtaining information of the commodities to be settled through image recognition; obtaining a first weight acquired by a weight detection device, obtaining a second weight based on the information of the commodities to be settled, judging whether the information of the commodities to be settled is matched with commodities to be confirmed according to a weight comparison result; and obtaining purchased commodity settlement information under the condition that the information of the commodities to be settled is matched with the commodities to be confirmed, and performing checkout processing.

Classes IPC  ?

• G06Q 20/20 - Systèmes de réseaux présents sur les points de vente
• G06Q 20/18 - Architectures de paiement impliquant des terminaux en libre-service, des distributeurs automatiques, des bornes ou des terminaux multimédia
• G06Q 30/0601 - Commerce électronique [e-commerce]
• G06F 18/00 - Reconnaissance de formes

Abrégé

Embodiments of the present invention disclose an information processing method. The method comprises: receiving an acquisition request sent by a terminal for acquiring an image to be displayed, wherein the acquisition request carries an identifier of the image, and the image comprises a first object to be displayed and a second object to be displayed; acquiring, on the basis of the acquisition request, the image corresponding to the identifier, and performing identification on the image to obtain a first image region and a second image region, wherein the first image region comprises the first object, and the second image region comprises the second object; and determining a sending order, and sequentially sending, according to the sending order, the first image region and the second image region to the terminal. Also disclosed by the embodiments of the present invention are a server, a terminal, and a computer storage medium.

Classes IPC  ?

• G06F 3/038 - Dispositions de commande et d'interface à cet effet, p. ex. circuits d'attaque ou circuits de contrôle incorporés dans le dispositif
• G06F 13/16 - Gestion de demandes d'interconnexion ou de transfert pour l'accès au bus de mémoire
• G06T 7/11 - Découpage basé sur les zones
• G06F 3/14 - Sortie numérique vers un dispositif de visualisation

Abrégé

Disclosed in the present application are a method and an apparatus for updating a cloud platform, the specific implementation being: in response to a received update request, acquiring cluster gene information of a cloud platform to be updated corresponding to the update request, the cluster gene information being structured information that entirely represents information of each component in a cloud platform container cluster; on the basis of the cluster gene information, determining each target component of the cloud platform corresponding to the cluster gene information and the level to which each target component belongs; on the basis of the level to which each target component belongs and the cluster gene information of the corresponding target component, updating each target component; and, on the basis of all of the updated target components, determining hardware resources of the cloud platform and software resources of the cloud platform. The present solution uses a method of cluster gene replication and inheritance and performs data updating level-by-level to implement rapid, accurate, and stable upgrading of a client-specific cloud platform.

Classes IPC  ?

• G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
• G06F 8/65 - Mises à jour

Abrégé

A method and apparatus for updating a cloud platform. The method comprises: in response to receiving a cloud platform update request, acquiring cluster gene information for update corresponding to the cloud platform update request (101), wherein the cluster gene information is structured information that completely represents information of respective components in a cloud platform container cluster; updating a standard cloud platform gene library according to a result of comparing the cluster gene information for update with cluster gene information of a current standard cloud platform (102), wherein the standard cloud platform is a unified cloud platform on which a customer-specific cloud platform is deployed; and determining, according to the updated standard cloud platform gene library, a hardware resource of a final standard cloud platform and a software resource of the final standard cloud platform (103). The method employs cluster gene replication and inheritance to realize an automatic upgrade of a unified standard cloud platform.

Classes IPC  ?

• G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation

Abrégé

Disclosed in the present application are a pedestrian re-identification method and device. A specific embodiment of the method comprises: acquiring a target image set comprising at least two target images, each target image comprising at least one person; extracting global features and head and shoulder features of each person in each target image in the target image set, wherein the global features are overall appearance features, and the head and shoulder features are features of the head and shoulders; determining representational features of each person in each target image on the basis of the global features and the head and shoulder features of each person in each target image; and determining the same person in different target images on the basis of the representational features of each person in each target image. By means of the embodiment, the identification result of pedestrian re-identification is improved.

Classes IPC  ?

• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

The verification method includes: acquiring a value of at least one type of to-be-verified configuration information of a hardware device of a user; generating to-be-verified information of the user according to the value of the to-be-verified configuration information; and comparing the to-be-verified information with stored identity verification information of the user to verify identity of the user.

Classes IPC  ?

• G06F 21/34 - Authentification de l’utilisateur impliquant l’utilisation de dispositifs externes supplémentaires, p. ex. clés électroniques ou cartes à puce intelligentes
• H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

Abrégé

A container creation method and apparatus, an electronic device, and a storage medium. The method comprises: obtaining an available rack list and an available network address list, wherein the available rack list comprises multiple available racks of different available zones, each available rack comprises at least one server node, and the available network address list comprises at least one available network address (S410); positioning spare server nodes of the available racks of the available rack list (S420); creating, on the spare server nodes, a current container corresponding to the available network address (S430); updating the available network address list (S440); re-sorting the available racks of the available rack list according to resource occupation information of the available racks of the available rack list (S450); and creating another container according to the spare server nodes of the re-sorted available racks of the available rack list, and the updated available network address list (S460).

Classes IPC  ?

• G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation

Abrégé

An unmanned aerial vehicle riding route processing method, apparatus and device, and a readable storage medium, the method includes: determining candidate ride vehicles according to an autonomous flight route of an unmanned aerial vehicle from a flight start point to a flight destination; determining a riding flight route of the unmanned aerial vehicle according to current locations of the candidate ride vehicles; and controlling the unmanned aerial vehicle to ride at least one of the candidate ride vehicles to travel from the flight start point to the flight end point according to the riding flight route.

Classes IPC  ?

• G05D 1/00 - Commande de la position, du cap, de l'altitude ou de l'attitude des véhicules terrestres, aquatiques, aériens ou spatiaux, p. ex. utilisant des pilotes automatiques
• B64C 39/02 - Aéronefs non prévus ailleurs caractérisés par un emploi spécial
• G01C 21/20 - Instruments pour effectuer des calculs de navigation
• B64U 80/86 - Véhicules terrestres

Abrégé

Provided is a method for waking up a device. The method can comprise the following steps: receiving a first wake-up request from a device, wherein the first wake-up request is a first wake-up request received by a master control device; determining a target device to be waked up according to the first wake-up request; and triggering the target device to enter a wake-up state, such that the target device responds to a wake-up voice input from a user. Also provided are a master control device, an electronic device, and a computer-readable storage medium.

Classes IPC  ?

• G10L 15/34 - Adaptation d’un reconnaisseur unique pour traitement en parallèle, p. ex. par utilisation de processeurs multiples ou informatique en nuage
• G10L 15/30 - Reconnaissance distribuée, p. ex. dans les systèmes client-serveur, pour les applications en téléphonie mobile ou réseaux

Abrégé

Disclosed are a responding method and responding apparatus of an electronic device, and a computer system and a storage medium. The responding method comprises: receiving requests from a plurality of electronic devices, wherein the request of each electronic device comprises the same user instruction, and a voice parameter that is obtained by analyzing the same wake-up voice; according to the voice parameter corresponding to each electronic device, determining a target electronic device used for responding to the same user instruction; and sending, to the target electronic device, a response instruction for responding to the same user instruction.

Classes IPC  ?

• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G06F 9/4401 - Amorçage

Abrégé

The processing method comprises: acquiring a first image set corresponding to a product category; labelling at least one region of interest for each image in the first image set, wherein each region of interest is used for representing an object; acquiring a scanning window; using the scanning window to scan the regions of interest, acquiring scanning results, and placing the scanning results into a sample training set; establishing an illustration frame acquisition model by taking the first image set as input and taking the sample training set as output; acquiring an image to be processed, and using the illustration frame acquisition model to acquire a target webpage illustration frame corresponding to the image to be processed; and cutting, according to the target webpage illustration frame, the image to be processed so as to obtain a target webpage illustration.

Classes IPC  ?

• G06F 16/957 - Optimisation de la navigation, p. ex. mise en cache ou distillation de contenus
• G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
• G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
• G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
• G06V 20/30 - ScènesÉléments spécifiques à la scène dans les albums, les collections ou les contenus partagés, p. ex. des photos ou des vidéos issus des réseaux sociaux
• G06V 30/413 - Classification de contenu, p. ex. de textes, de photographies ou de tableaux

Abrégé

An item recall method includes: behavior data is acquired, where the behavior data includes items and item information of each item; target behavior data containing a retrieval category word is extracted from the behavior data; retrieval words of each item and a retrieval frequency of each retrieval word are acquired in a reverse correlation manner; word segmentation is performed on the item information to obtain multiple item segmented words; a similarity between all retrieval words and the multiple item segmented words is calculated; whether the similarity is greater than a first preset threshold or not is determined, and if yes, then a retrieval word is extracted as an expansion word of the retrieval category word; and item recall is performed according to the retrieval category word and the expansion word.

Classes IPC  ?

• G06F 40/289 - Analyse syntagmatique, p. ex. techniques d’états finis ou regroupement
• G06F 16/33 - Requêtes
• G06F 16/332 - Formulation de requêtes
• G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p. ex. des interruptions ou des opérations d'entrée–sortie
• G06F 18/22 - Critères d'appariement, p. ex. mesures de proximité

Abrégé

A blockchain-based information interaction method, a blockchain node, and a credit investigation network. A blockchain-based information interaction method includes generating, by a blockchain node, a credit information summary according to user data; generating blockchain information according to the credit information summary; and distributing the blockchain information on a blockchain network, so as to perform interaction of user credit information summary from different nodes through the blockchain network.

Classes IPC  ?

• G06Q 40/02 - Opérations bancaires, p. ex. calcul d'intérêts ou tenue de compte
• G06Q 50/26 - Services gouvernementaux ou services publics
• G06Q 50/00 - Technologies de l’information et de la communication [TIC] spécialement adaptées à la mise en œuvre des procédés d’affaires d’un secteur particulier d’activité économique, p. ex. aux services d’utilité publique ou au tourisme
• G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
• H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
• G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès

Abrégé

Disclosed are a blockchain-based data storage method, system and apparatus, which relate to the technical field of blockchains. The specific implementation solution is: in response to the reception of a matching result sent by a computing node, acquiring data to be stored of a requesting node, wherein the matching result is obtained by means of performing, on the basis of node information, resource balanced matching on a data storage request, and the node information is obtained from a first blockchain on the basis of the computing node; initiating a transaction according to the data to be stored of the requesting node, and generating transaction data corresponding to the data to be stored of the requesting node; verifying the transaction according to metadata; receiving a result indicating that verification is passed and sent by the requesting node; and in response to transaction verification being passed and receiving the result indicating that the verification is passed and sent by the requesting node, storing the transaction data in a second blockchain. Provided is a dual-public-blockchain based secure storage solution, which improves the security of remote data storage in a blockchain network.

Classes IPC  ?

• H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
• H04L 12/803 - Commande de flux ou commande de congestion Équilibrage de charge, p.ex. répartition du trafic entre multiples liens
• H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
• G06Q 40/04 - TransactionsOpérations boursières, p. ex. actions, marchandises, produits dérivés ou change de devises
• G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet
• G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
• G06F 21/64 - Protection de l’intégrité des données, p. ex. par sommes de contrôle, certificats ou signatures
• G06F 21/80 - Protection de composants spécifiques internes ou périphériques, où la protection d'un composant mène à la protection de tout le calculateur pour assurer la sécurité du stockage de données dans les supports de stockage magnétique ou optique, p. ex. disques avec secteurs

Abrégé

An automatic vending method and apparatus, and a computer-readable storage medium, relating to the field of automatic vending machines. The method includes: obtaining an image from a photographed video stream of commodities in an automatic vending machine; positioning an image of a commodity picked up by a user from the image; obtaining a change value of load weight of a shelf where the commodity is picked up by the user; determining a possible combination of commodities corresponding to the change value of load weight according to a weight of each commodity in the automatic vending machine; recognizing information of the commodity corresponding to the image of the commodity picked up by the user according to a pre-established commodity feature library and in conjunction with the possible combination of commodities; and performing settlement automatically for the user according to the recognized information of the commodity.

Classes IPC  ?

• G06Q 20/18 - Architectures de paiement impliquant des terminaux en libre-service, des distributeurs automatiques, des bornes ou des terminaux multimédia
• G07F 9/02 - Dispositifs pour donner l'alarme ou une indication, p. ex. quand l'appareil est videAménagements publicitaires des appareils déclenchés par des pièces de monnaie
• G06N 20/00 - Apprentissage automatique

Abrégé

The present disclosure provides a method for protecting privacy, a device and a system. The method for protecting privacy comprises: acquiring video information collected by a camera; performing video segmentation processing on the video information, so as to obtain an original video frame; detecting whether the original video frame comprises privacy information; if the original video frame comprises privacy information, performing mask processing on a region, comprising the privacy information, of the original video frame, so as to generate a masked frame, and using the masked frame as an output video frame; and if the original video frame does not comprise privacy information, using the original video frame as an output video frame.

Classes IPC  ?

• H04N 21/6334 - Signaux de commande issus du serveur dirigés vers des éléments du réseau ou du client vers le client pour l’autorisation, p. ex. en transmettant une clé

Abrégé

Disclosed in embodiments of the present application are an information presentation method and device. One specific embodiment of a system comprises: receiving a collocation request for performing clothing collocation on target clothing, the collocation request comprising a target clothing image; performing feature extraction on the target clothing image to obtain a feature vector of the target clothing image; and selecting, from a preset clothing information set on the basis of the feature vector of the target clothing image, a clothing image having a feature vector matching the feature vector of the target clothing image to form at least one group of clothing collocation images together with the target clothing image, wherein the clothing information set comprises clothing images and feature vectors of the clothing images. The embodiment improves clothing collocation effects.

Classes IPC  ?

• G06Q 30/0601 - Commerce électronique [e-commerce]
• G06F 18/21 - Conception ou mise en place de systèmes ou de techniquesExtraction de caractéristiques dans l'espace des caractéristiquesSéparation aveugle de sources
• G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
• G06F 18/22 - Critères d'appariement, p. ex. mesures de proximité
• G06F 18/24 - Techniques de classification
• G06N 3/044 - Réseaux récurrents, p. ex. réseaux de Hopfield
• G06N 3/08 - Méthodes d'apprentissage
• G06T 7/40 - Analyse de la texture
• G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
• G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
• G06V 20/30 - ScènesÉléments spécifiques à la scène dans les albums, les collections ou les contenus partagés, p. ex. des photos ou des vidéos issus des réseaux sociaux

Abrégé

The present disclosure relates to a broadcast directing method, apparatus and system, and a computer-storable medium, which relate to the technical field of computers. The broadcast directing method comprises: acquiring a reference video stream from a reference camera position; performing event recognition on the reference video stream to obtain at least one reference event frame interval, wherein each reference event frame interval corresponds to a unique event, and each reference event frame interval comprises frame identifiers of a plurality of successive images in which the same event occurs; determining a local sequence of each reference event frame interval according to a correlation between an event and a camera position identifier, wherein the local sequence comprises a camera position identifier of each frame of image of a video to be broadcast which corresponds to the reference event frame interval, and a frame identifier corresponding to the camera position identifier; generating a broadcast directing sequence according to local sequences; and generating a broadcast-directed video according to the broadcast directing sequence and video streams of corresponding camera positions. According to the present disclosure, labor costs are reduced, and the real-time performance and accuracy of broadcast directing are improved.

Classes IPC  ?

• H04N 21/2187 - Transmission en direct

Abrégé

The present disclosure provides a method of accumulating order-goods, including: acquiring a collection order queue; acquiring a collection order from the collection order queue, assigning a first slide to the collection order, and sending goods in the collection order to the first slide in response to a presence of a first slide in an idle state, wherein the first slide only allows sending of goods in one collection order at one time; and activating a second slide in response to a predetermined condition being satisfied, wherein the second slide allows simultaneous sending of goods in a plurality of collection orders. The present disclosure further provides a system of accumulating order-goods, an electronic apparatus, a computer-readable storage medium, and a device of accumulating order-goods.

Classes IPC  ?

• G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
• G06Q 10/083 - Expédition

Abrégé

The present disclosure relates to a voice shopping method, device, and a computer-readable storage medium, and relates to the field of voice recognition technology. The method includes: receiving a query instruction from a user by voice, and performing semantic recognition on the query instruction to determine one or more keywords of query content of the user; determining a search range of the keywords according to one or more shopping behavior records of the user; searching the keywords within the search range to obtain commodity information related to the query content, and performing voice output; and receiving an ordering instruction from the user by voice, and performing semantic recognition on the ordering instruction to determine whether an order is made.

Classes IPC  ?

• G06Q 30/00 - Commerce
• G06Q 30/0601 - Commerce électronique [e-commerce]
• G06F 3/16 - Entrée acoustiqueSortie acoustique
• G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G10L 15/08 - Classement ou recherche de la parole

Abrégé

Provided in the present disclosure is an order information processing method, comprising: acquiring order information, the order information comprising information of a designated address and information of at least one designated item; acquiring warehouse information, the warehouse information comprising inventory information of a plurality of warehouses and delivery information of the plurality of warehouses; and using a pre-built optimization model to process the order information and the warehouse information so as to determine that at least one warehouse from among the plurality of warehouses is a distribution warehouse according to output results of the optimization model, so that the sum of a first value and a second value is less than or equal to a predetermined value. The first value is used to represent the length of delivery time spent in delivering the at least one designated item from the distribution warehouse to the designated address, and the second value is used to represent a delivery fee spent in delivering the at least one designated item from the distribution warehouse to the designated address. Further provided in the present disclosure are an order information processing device, a computer device, and a medium.

Classes IPC  ?

• G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"

Abrégé

The present disclosure provides a method for acquiring an item placing state, including: sending an acquisition request, wherein the acquisition request includes one or more association relationships, each of the association relationships includes an association relationship between a hot zone and a camera equipment, and one hot zone corresponds to one kind of item; and receiving a placing state of an item corresponding to at least one hot zone, wherein the placing state of the item corresponding to the at least one hot zone is determined according to a current image and a standard image of the at least one hot zone in response to the acquisition request. The present disclosure further provides a processing method, a system for acquiring an item placing state and a processing system.

Classes IPC  ?

• G06V 20/52 - Activités de surveillance ou de suivi, p. ex. pour la reconnaissance d’objets suspects
• G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
• G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
• G06V 20/00 - ScènesÉléments spécifiques à la scène
• G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
• G08B 21/18 - Alarmes de situation

Abrégé

Embodiments of the present application provide a method and an apparatus for entering a review interface, a terminal device scans a target object through an AR scanning method to obtain a first signal, sends a first request message to a server according to the first signal to request for a review interface, and after receiving the first request message, the server sends a first response message carrying data used to generate an interface of a product to be reviewed to the terminal device. In the process, after the terminal device enters a web page of an electronic commerce platform, a review interface can be entered by AR scanning, thereby achieving a purpose of entering the review interface rapidly.

Classes IPC  ?

• G06Q 30/00 - Commerce
• G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
• G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet
• G06F 16/9035 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d'utilisateurs ou de groupes
• G06Q 30/0282 - Notation ou évaluation d’opérateurs commerciaux ou de produits
• G06Q 30/0601 - Commerce électronique [e-commerce]

Abrégé

The present disclosure relates to the technical field of multimedia, and provides a video processing method and apparatus. The video processing method according to the present disclosure includes: performing semantic analysis on subtitles of a video to acquire compressed subtitles; determining a weight of each frame of images in the video based on a preset image processing strategy; acquiring a shortened video images by extracting a plurality of image frames in an order of the weights of all frames of images from high to low, according to a preset video shortening proportion; and generating a shortened video according to the shortened video images and the compressed subtitles.

Classes IPC  ?

• H04N 21/8549 - Création de résumés vidéo, p. ex. bande annonce
• G06F 16/735 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d'utilisateurs ou de groupes
• G06F 40/30 - Analyse sémantique
• G06N 20/00 - Apprentissage automatique
• G06F 16/78 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
• H04N 21/43 - Traitement de contenu ou données additionnelles, p. ex. démultiplexage de données additionnelles d'un flux vidéo numériqueOpérations élémentaires de client, p. ex. surveillance du réseau domestique ou synchronisation de l'horloge du décodeurIntergiciel de client
• H04N 21/488 - Services de données, p. ex. téléscripteur d'actualités

Abrégé

A path planning method for an unmanned device includes taking a current landmark as a current node, obtaining a landmark corresponding to a product to be picked with a route closest to the current node, and taking the obtained landmark as the current node, wherein an initial value of the current node is an initial landmark of the unmanned device; determining whether the current node is a landmark corresponding to the last product to be picked; if no, performing the step of obtaining a landmark corresponding to a product to be picked with a route closest to the current node; and if yes, taking a route composed of the initial landmark of the unmanned device and landmarks corresponding to products to be picked that are selected sequentially as a travel route of the unmanned device.

Classes IPC  ?

• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
• G05D 1/00 - Commande de la position, du cap, de l'altitude ou de l'attitude des véhicules terrestres, aquatiques, aériens ou spatiaux, p. ex. utilisant des pilotes automatiques
• G06Q 10/047 - Optimisation des itinéraires ou des chemins, p. ex. problème du voyageur de commerce
• G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
• G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks

Abrégé

Disclosed are an augmented reality-based coloring method and apparatus, an electronic device and a storage medium. The method comprises: acquiring three-dimensional mesh information of a human face, and acquiring position coordinates and texture coordinates of respective vertices of a target portion of the human face based on the three-dimensional mesh information of the human face; constructing a three-dimensional mesh of the target portion according to the position coordinates of respective vertices of the target portion, and determining a normal line of each vertex in the three-dimensional mesh; and coloring the target portion based on the position coordinates, the texture coordinates and a normal line of each vertex in the three-dimensional mesh, a preset shading map of the target portion, and a target RGB value of the target portion, thereby improving the stereoscopic impression and the sense of reality of coloring, and improving the user experience.

Classes IPC  ?

• G06T 17/20 - Description filaire, p. ex. polygonalisation ou tessellation
• G06T 15/80 - Ombrage
• G06T 15/04 - Mappage de texture
• G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie
• G06T 19/20 - Édition d'images tridimensionnelles [3D], p. ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties

Abrégé

An image description generation method, apparatus and system, and a medium and an electronic device, relating to the technical field of image processing. The method comprises: obtaining image region features in a target image, and performing average pooling processing on the image region features to obtain a current input vector; performing linear fusion on the current input vector and the image region features to obtain an outer product vector of the image region features; calculating attention distribution of the image region features in a spatial dimension and attention distribution of the image region features in a channel dimension according to the outer product vector of the image region features; and generating image description of the target image according to the attention distribution in the spatial dimension and the attention distribution in the channel dimension.

Classes IPC  ?

• G06K 9/32 - Alignement ou centrage du capteur d'image ou de la zone image
• G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion

Abrégé

A commodity recommendation method, apparatus and system, and a computer readable storage medium. The method includes: analyzing an image of a specific offline customer currently entering a store to obtain an attribute of the specific offline customer; determining an online user matching the specific offline customer according to the attribute of the specific offline customer; constructing a collection of popular commodities of the store according to commodities corresponding to stay positions of offline customers who have entered the store before; and recommending a commodity to the specific offline customer according to a historical shopping information of the online user and the collection of popular commodities.

Classes IPC  ?

• G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
• G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G10L 13/02 - Procédés d'élaboration de parole synthétiqueSynthétiseurs de parole

Abrégé

A text information processing method and apparatus (20). The method comprises: obtaining from text information a phoneme vector corresponding to each phoneme and a semantic vector corresponding to each phoneme (S201); obtaining first semantic information output at the last moment, the first semantic information being semantic information corresponding to part of the text information, the part of the text information being text information that has been converted into speech information (S202); determining, according to the first semantic information, the phoneme vector corresponding to each phoneme, and the semantic vector corresponding to each phoneme, a context vector corresponding to a current moment (S203); and determining speech information at the current moment according to the context vector and the first semantic information (S204), so as to cause an speech audio synthesized according to the speech information to have a better rhythm and a more stable sound quality.

Classes IPC  ?

• G10L 13/08 - Analyse de texte ou génération de paramètres pour la synthèse de la parole à partir de texte, p. ex. conversion graphème-phonème, génération de prosodie ou détermination de l'intonation ou de l'accent tonique
• G06F 40/279 - Reconnaissance d’entités textuelles
• G06F 40/30 - Analyse sémantique

Abrégé

A method and a system for self-checkout. The system includes a scanner, an imaging device, and a computing device. The computing device is configured to: initiate a self-checkout event; instruct the imaging device to capture video frames of a region of interest (ROI); track the product; record scanning status and location status of the product; in response to receive a scanning signal from the scanner, record scanning status of the product as scanned; calculate a shoplifting risk score based on a number of the product having the scanning status of unscanned and disappears from the table region or ROI; and provide a shoplifting warning when the shoplifting score is large.

Classes IPC  ?

• G06Q 20/20 - Systèmes de réseaux présents sur les points de vente

Abrégé

A method and a system for self-checkout. The system includes a scanner, an imaging device, and a computing device. The computing device is configured to: initiate a self-checkout event; instruct the imaging device to capture video frames of a region of interest (ROI); track the product; record scanning status and location status of the product; in response to receive a scanning signal from the scanner, record scanning status of the product as scanned; calculate a shoplifting risk score based on a number of the product having the scanning status of unscanned and disappears from the table region or ROI; and provide a shoplifting warning when the shoplifting score is large.

Classes IPC  ?

• G08B 13/196 - Déclenchement influencé par la chaleur, la lumière, ou les radiations de longueur d'onde plus courteDéclenchement par introduction de sources de chaleur, de lumière, ou de radiations de longueur d'onde plus courte utilisant des systèmes détecteurs de radiations passifs utilisant des systèmes de balayage et de comparaison d'image utilisant des caméras de télévision
• G06Q 20/18 - Architectures de paiement impliquant des terminaux en libre-service, des distributeurs automatiques, des bornes ou des terminaux multimédia
• G06N 3/08 - Méthodes d'apprentissage
• G06K 9/20 - Obtention de l'image
• G06T 7/20 - Analyse du mouvement

Abrégé

System and method for simultaneous object detection and semantic segmentation. The system includes a computing device. The computing device has a processor and a non-volatile memory storing computer executable code. The computer executable code, when executed at the processor, is configured to: receive an image of a scene; process the image using a neural network backbone to obtain a feature map; process the feature map using an object detection module to obtain object detection result of the image; and process the feature map using a semantic segmentation module to obtain semantic segmentation result of the image. The object detection module and the semantic segmentation module are trained using a same loss function comprising an object detection component and a semantic segmentation component.

Classes IPC  ?

• G06K 9/34 - Découpage des formes se touchant ou se chevauchant dans la zone image

Abrégé

System and method for simultaneous object detection and semantic segmentation. The system includes a computing device. The computing device has a processor and a non-volatile memory storing computer executable code. The computer executable code, when executed at the processor, is configured to: receive an image of a scene; process the image using a neural network backbone to obtain a feature map; process the feature map using an object detection module to obtain object detection result of the image; and process the feature map using a semantic segmentation module to obtain semantic segmentation result of the image. The object detection module and the semantic segmentation module are trained using a same loss function comprising an object detection component and a semantic segmentation component.

Classes IPC  ?

• G06T 1/00 - Traitement de données d'image, d'application générale
• G06T 1/20 - Architectures de processeursConfiguration de processeurs p. ex. configuration en pipeline
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06V 30/194 - Références réglables par une méthode adaptative, p. ex. par apprentissage

Abrégé

A method and apparatus for delivering an article are provided. The method may include: in response to reception of a vehicle unlocked notification message sent by a terminal device of a user, sending the vehicle unlocked notification message to a terminal device of a deliveryman; in response to reception of an article delivered notification message sent by the terminal device of the deliveryman, sending the article delivered notification message to the terminal device of the user; in response to reception of a vehicle locked notification message sent by the terminal device of the user, sending the vehicle locked notification message to the terminal device of the deliveryman.

Classes IPC  ?

• G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks
• G07C 9/20 - Enregistrement de l’entrée ou de la sortie d'une entité isolée comportant l’utilisation d’un laissez-passer
• H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
• H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c.-à-d. systèmes dans lesquels le signal vidéo n'est pas diffusé

Abrégé

A system and a method for multimedia data analysis. The system includes a computing device. The computer device includes a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: encode task description and task meta info into concatenated task vectors; encode context text and context meta info into concatenated context text vectors; encode context image and the context meta info into concatenated context image vectors; perform dual coattention on the concatenated task vectors and the concatenated context text and image vectors to obtain attended task vectors and attended context vectors; perform BiLSTM on the attended task vectors and the attended context vectors to obtain task encoding and context encoding; and decode the task encoding and the context encoding to obtain an answer to the task.

Classes IPC  ?

• G06K 9/34 - Découpage des formes se touchant ou se chevauchant dans la zone image

Abrégé

Embodiments of the present disclosure provide an image processing method, apparatus, and device. The method includes: obtaining a scene image in a scene to be displayed; obtaining a three-channel color value and a metallicity coefficient of each pixel point in the scene image; and performing diffuse reflection processing on the scene image according to the three-channel color value and the metallicity coefficient of each pixel point. The method in the embodiments of the present disclosure improves the authenticity of the scene to be displayed, which is more realistic and natural.

Classes IPC  ?

• G06T 15/50 - Effets de lumière
• G06T 15/00 - Rendu d'images tridimensionnelles [3D]
• G06T 15/04 - Mappage de texture

Abrégé

A system and a method for multimedia data analysis. The system includes a computing device. The computer device includes a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: encode task description and task meta info into concatenated task vectors; encode context text and context meta info into concatenated context text vectors; encode context image and the context meta info into concatenated context image vectors; perform dual coattention on the concatenated task vectors and the concatenated context text and image vectors to obtain attended task vectors and attended context vectors; perform BiLSTM on the attended task vectors and the attended context vectors to obtain task encoding and context encoding; and decode the task encoding and the context encoding to obtain an answer to the task.

Classes IPC  ?

• G06N 3/08 - Méthodes d'apprentissage
• G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion

Abrégé

The present disclosure relates to the technical field of cloud computing, and to a cloud system migration method and device, and a hybrid cloud system. The method comprises: dividing each service system in a first cloud system into a plurality of modules; determining the relation between a module to be migrated among the plurality of modules and other modules; copying said module among the plurality of modules to a second cloud system, the type of the first cloud system being different from that of the second cloud system; and establishing a relation in the second cloud system to complete the migration of the first cloud system.

Classes IPC  ?

• H04L 12/24 - Dispositions pour la maintenance ou la gestion

Abrégé

Disclosed are an image processing method and apparatus. The method may include: inputting a target image into a pre-trained image detection model to obtain a feature value of a rectangular box in which each graphic of at least one graphic presented by the target image is located, and a probability value of each graphic being a specified graphic code; in response to determining at least two rectangular boxes having regions partially overlapped in the rectangular box involved in the at least one graphic, determining a ratio of an area of partially overlapped regions enclosed by the at least two rectangular boxes to the sum of the areas of the regions enclosed by the at least two rectangular boxes; based on the comparison between the ratio and a preset ratio threshold value, determining a target rectangular box from the at least two rectangular boxes; and generating a processed target image.

Classes IPC  ?

• G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation électromagnétique, p. ex. lecture optiqueMéthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p. ex. lecture de la lumière blanche réfléchie
• G06T 5/40 - Amélioration ou restauration d'image utilisant des techniques d'histogrammes
• G06T 5/00 - Amélioration ou restauration d'image

Abrégé

The present disclosure provides a pedestrian re-identification method and apparatus. The pedestrian re-identification apparatus detects a pedestrian to be identified in a specified video frame, and within a specified time period before the capture time of the specified video frame, extracts all pedestrians appearing in the captured video frame and taking them to be historical pedestrians; calculating the feature distances between the pedestrian to be identified and the historical pedestrians; in order of feature distance, from small to large, extracting historical pedestrian identifications corresponding to a predetermined number of feature distances, and clustering the extracted historical pedestrian identifications so as to re-identify the pedestrians to be identified. The present disclosure effectively suppresses external noise interference and improves the success rate of pedestrian re-identification.

Classes IPC  ?

• G06V 40/10 - Corps d’êtres humains ou d’animaux, p. ex. occupants de véhicules automobiles ou piétonsParties du corps, p. ex. mains
• G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
• G06F 18/22 - Critères d'appariement, p. ex. mesures de proximité
• G06F 18/23 - Techniques de partitionnement
• G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
• G06V 20/52 - Activités de surveillance ou de suivi, p. ex. pour la reconnaissance d’objets suspects
• G06V 10/62 - Extraction de caractéristiques d’images ou de vidéos relative à une dimension temporelle, p. ex. extraction de caractéristiques axées sur le tempsSuivi de modèle

Abrégé

The present disclosure provides a page presentation method, including: receiving an access request for a target page, wherein the target page has a plurality of page blocks; and presenting a block snapshot of at least one page block in the target page stored locally in response to the access request, wherein each page block has a respective block snapshot. In addition, the present disclosure also provides a page presentation system, a computer system, and a computer-readable medium.

Classes IPC  ?

• H04L 67/02 - Protocoles basés sur la technologie du Web, p. ex. protocole de transfert hypertexte [HTTP]
• G06F 16/957 - Optimisation de la navigation, p. ex. mise en cache ou distillation de contenus
• H04L 67/568 - Stockage temporaire des données à un stade intermédiaire, p. ex. par mise en antémémoire

Abrégé

A commodity replenishment method and device, which relate to the technical field of smart shopping, the method includes determining warehouse-out information and an association relation of shelved commodities according to historical sales information of the commodities; determining placement information of the shelved commodities on shelves based on commodity attributes, the warehouse-out information, the association relationship and shelf information; controlling a shelf management system to adjust shelf layout according to the placement information; determining a replenishment quantity and replenishment position of the shelved commodities according to the current remaining quantity of the shelved commodities; controlling a commodity conveying system to place replenished commodities to the replenishment position.

Classes IPC  ?

• G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks
• A47F 5/00 - Stands d'étalage, systèmes de suspension ou rayonnages caractérisés par leurs particularités de structure
• B25J 13/08 - Commandes pour manipulateurs au moyens de dispositifs sensibles, p. ex. à la vue ou au toucher
• G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation

Abrégé

The present disclosure relates to a cluster resource control method and apparatus, and a cloud computing system, relating to the technical field of computers. The method comprises: when resources to be controlled are resources to be expanded, determining a binding relationship between the resources to be expanded and an application; adding the resources to be expanded after initialisation to the resource pool of the corresponding application having a binding relationship with same; on the basis of the deployment type of the application to be processed, generating data packets to be executed of the application to be processed; and deploying the data packets to be executed on the resources to be expanded in the resource pool of the application to be processed for execution.

Classes IPC  ?

• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]

Abrégé

The invention discloses an augmented reality method and device, and relates to the field of computer technology. A specific implementation of the method includes: acquiring video information of a target, and acquiring real image information and real sound information of the target from the same; using the real image information to determine at least one image-based target state data, and using the real sound information to determine at least one sound-based target state data; fusing the image-based and sound-based target state data of the same type to obtain a target portrait data; and acquiring virtual information corresponding to the target portrait data, and superimposing the virtual information on the video information. This implementation can identify the current state of the target based on the image information and sound information of the target, and fuse the two identification results to obtain an accurate target portrait. Based on the target portrait, virtual information display matching the user status can be displayed, thereby improving augmented reality and user experience.

Classes IPC  ?

• G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie
• G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

Abrégé

The present disclosure relates to a page control method and apparatus, and a computer-readable storage medium, and pertains to the technical field of application software. The method includes detecting an operation of a user on a current page of an application, displaying a label of each of at least one history page visited by the user, in response to detecting that the user triggers a page selection function, and jumping to a page corresponding to a label selected by the user from the current page, in response to detecting that the operation of the user is to select the label.

Classes IPC  ?

• H04M 1/72445 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles avec des moyens de soutien local des applications accroissant la fonctionnalité pour donner accès à des applications de navigateur Internet
• G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation
• G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
• G06F 3/0483 - Interaction avec des environnements structurés en pages, p. ex. métaphore livresque
• G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail

Abrégé

A method for determining an electronic device, a system for determining an electronic device, a computer system, and a computer-readable storage medium, the method includes: acquiring a recognition result by recognizing a first action performed by an operating object through a first electronic device (S201); and determining a second electronic device which is controllable by the first electronic device according to the recognition result (S202).

Classes IPC  ?

• G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
• G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
• G06F 3/16 - Entrée acoustiqueSortie acoustique
• G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
• G06V 10/50 - Extraction de caractéristiques d’images ou de vidéos en effectuant des opérations dans des blocs d’imagesExtraction de caractéristiques d’images ou de vidéos en utilisant des histogrammes, p. ex. l’histogramme de gradient orienté [HoG]Extraction de caractéristiques d’images ou de vidéos en utilisant l’addition des valeurs d’intensité d’imageAnalyse de projection
• G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
• G06V 40/20 - Mouvements ou comportement, p. ex. reconnaissance des gestes

Abrégé

A method and system for content display. The method includes: capturing, by an imaging device, a plurality of images of an environment; generating, by a computing device, first user profiles based on appearance of users recognized in the images; detecting devices in the environment and associating the detected devices to the users to obtain associated devices that are hold by the users; retrieving, by the computing device, second user profiles of the users based on identifications of the associated devices; selecting at least one content based on the first user profiles and the second user profiles; and displaying the at least one selected content.

Classes IPC  ?

• G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds

Abrégé

A container scheduling method and apparatus, and a computer-readable storage medium, which relate to the technical field of computers. The method comprises: according to a resource usage amount of a container set copy which has run, determining a predicted resource usage amount of a container set copy to be scheduled, wherein the type of container set copy which has run is the same as the type of container set copy to be scheduled; according to the predicted resource usage amount and a resource supply amount supported by each candidate node, determining a candidate node matching the container set copy which has run; and scheduling the container set copy which has run to the matched candidate node for running.

Classes IPC  ?

• G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
• G06F 9/48 - Lancement de programmes Commutation de programmes, p. ex. par interruption
• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]

Abrégé

A method and system for content display. The method includes: capturing, by an imaging device, a plurality of images of an environment; generating, by a computing device, first user profiles based on appearance of users recognized in the images; detecting devices in the environment and associating the detected devices to the users to obtain associated devices that are held by the users; retrieving, by the computing device, second user profiles of the users based on identifications of the associated devices; selecting at least one content based on the first user profiles and the second user profiles; and displaying the at least one selected content.

Classes IPC  ?

• G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
• G06Q 30/0251 - Publicités ciblées
• H04L 67/306 - Profils des utilisateurs
• G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
• G06V 20/52 - Activités de surveillance ou de suivi, p. ex. pour la reconnaissance d’objets suspects
• G06V 40/18 - Caractéristiques de l’œil, p. ex. de l’iris
• G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions

Abrégé

A method, apparatus, and system for controlling an automated guided vehicle. An embodiment of the method comprises: receiving a fault message comprising travel state information for indicating the travel state of a faulty automated guided vehicle and position information of a fault point where a fault occurs (201); determining a fault region, and sending an instruction for indicating prohibition of passing in the fault region to a non-faulty automated guided vehicle (202); determining a target automated guided vehicle from the automated guided vehicles currently not executing a task, and sending a task execution instruction to the target automated guided vehicle (203); and in response to determining that the faulted automated guided vehicle is transferred to a maintenance region, sending an instruction for indicating cancel of the prohibition of passing in the fault region to the non-faulty automated guided vehicle that is executing a task (204).

Classes IPC  ?

• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
• B60W 50/02 - Détails des systèmes d'aide à la conduite des véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier pour préserver la sécurité en cas de défaillance du système d'aide à la conduite, p. ex. en diagnostiquant ou en palliant à un dysfonctionnement
• G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers
• G05B 15/02 - Systèmes commandés par un calculateur électriques

Abrégé

The present disclosure relates to an information sending method, apparatus, system and a computer readable storage medium, and pertains to the technical field of computers. The method in the present disclosure includes: analyzing video data of an offline user to determine an attribute of the offline user; searching for historical access information of at least one online user matching the attribute of the offline user; and determining at least one object recommended to the offline user according to the historical access information of each of the at least one online user, and sending information of the at least one object to the offline user.

Classes IPC  ?

• G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation
• G06Q 30/0251 - Publicités ciblées
• G06F 16/9538 - Présentation des résultats des requêtes
• G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
• G06F 18/22 - Critères d'appariement, p. ex. mesures de proximité
• G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
• G06V 20/52 - Activités de surveillance ou de suivi, p. ex. pour la reconnaissance d’objets suspects
• G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions

Abrégé

A facial parsing method and apparatus, a facial parsing network training method and apparatus, an electronic device and a non-transitory computer-readable storage medium, which relate to the field of artificial intelligence. The facial parsing method comprises: inputting a facial image into a pre-trained facial parsing neural network (S201); extracting semantic features of the facial image by using a semantic perception sub-network (S202); extracting boundary features of the facial image by using a boundary perception sub-network (S203); and processing cascaded semantic features and boundary features by using a fusion sub-network, so as to obtain a facial region to which each pixel in the facial image belongs (S204). The method can improve the resolution capability of a neural network for boundary pixels between different facial regions of a facial image, thereby improving the precision of facial parsing.

Classes IPC  ?

• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales

Abrégé

An information pushing method and apparatus. The method comprises: determining search information on the basis of operating behavior information of a user (201); pushing a target long video to the user (202), wherein the target long video is a long video with tag information matching the search information in a long video set, the tag information is used for recording a feature category of the long video, and each long video in the long video set comprises at least one short video, and the short video is correspondingly provided with article ID information; and in response to a selection operation of the user for the short video comprised in the target long video, pushing the article information to the user on the basis of the article ID information corresponding to the selected short video (203). This method enables a user to acquire corresponding article information by means of selecting a short video from a long video, thereby realizing targeted information pushing.

Classes IPC  ?

• H04N 21/4722 - Interface pour utilisateurs finaux pour la requête de contenu, de données additionnelles ou de servicesInterface pour utilisateurs finaux pour l'interaction avec le contenu, p. ex. pour la réservation de contenu ou la mise en place de rappels, pour la requête de notification d'événement ou pour la transformation de contenus affichés pour la requête de données additionnelles associées au contenu