Abstract: A system for load identification in collaboration with a cloud end includes: a smart Internet of Things electricity meter module, used for matching extracted feature quantity data with a first load feature library of the smart Internet of Things electricity meter module, and determining load feature data corresponding to unmatched feature quantity data in the feature quantity data as target load feature data; a use information front-end/acquisition module, used for calling the target load feature data and transmitting the target load feature data to a main station load identification module; and a main station load identification module, used for receiving the target load feature data, performing data direction processing on the target load feature data, determining an optimal matching strategy matching the feature data to be identified, and identifying an optimal matching solution corresponding to the feature quantity data to be identified in a second load feature library.

Abstract: A negative electrode sheet and a manufacturing method thereof and a battery are provided in the disclosure. The negative electrode sheet includes a conductive fiber cloth, a support layer, and an active material layer. The conductive fiber cloth serves as a current collector of the negative electrode sheet. The support layer is formed on a surface of the conductive fiber cloth and includes multiple protruding units, where each of the multiple protruding units includes multiple needle-shaped protrusions, and the multiple needle-shaped protrusions of each protruding unit are arranged radially. The active material layer includes multiple active portions, where each of the multiple active portions is formed on a surface of one of the multiple needle-shaped protrusions, and different active portions are formed on surfaces of different needle-shaped protrusions.

Abstract: A system for load identification in collaboration with a cloud end includes: a smart Internet of Things electricity meter module, used for matching extracted feature quantity data with a first load feature library of the smart Internet of Things electricity meter module, and determining load feature data corresponding to unmatched feature quantity data in the feature quantity data as target load feature data; a use information front-end/acquisition module, used for calling the target load feature data and transmitting the target load feature data to a main station load identification module; and a main station load identification module, used for receiving the target load feature data, performing data direction processing on the target load feature data, determining an optimal matching strategy matching the feature data to be identified, and identifying an optimal matching solution corresponding to the feature quantity data to be identified in a second load feature library.

Abstract: Presenting information on similar objects relative to a target object is disclosed, including: obtaining a plurality of video frames; determining a target object in the plurality of video frames using a tracking recognition technique; determining time slice information corresponding to the target object; using the time slice information corresponding to the target object to determine one or more similar objects relative to the target object; receiving an indication to present information on the one or more similar objects relative to the target object; and outputting the information on the one or more similar objects relative to the target object.

Abstract: Embodiments of this specification provide methods and apparatuses for processing images, devices, and storage media. A method includes: obtaining an image for processing; generating a first mask image corresponding to the image based on a machine-learning model and determining whether the image has a foreground object; in response to determining that the image has the foreground object, setting pixels corresponding to the foreground object to a first grayscale value range, and setting pixels corresponding to non-foreground objects in the first mask image to a second grayscale value range; determining an outline corresponding to the foreground object in the image according to a grayscale value range difference between the first grayscale value range of the foreground object and the second grayscale value range of the non-foreground objects in the first mask image; and sending, to a client device for display, the image with the determined outline for interaction by a user.

Abstract: A prediction method, apparatus, and system for performing an image search is disclosed in the disclosure. In one embodiment, a method comprises: performing training in which domain adaptation learning is performed by using a source domain model to obtain a target domain model, wherein the source domain model comprises at least two network models, and the network models respectively correspond to different commodity categories; and setting an image under search and sample sets of commodities of a plurality of categories as input parameters for the target domain model to obtain a prediction result corresponding to the image. The disclosure solves the technical problem of inaccurate prediction in the process of using category prediction methods to perform a prediction on an image in current systems.

Abstract: Embodiments of the specification provide a product object publishing method and a system. The method includes: obtaining an image of a product object; sending the image to a server; receiving a plurality of types of product attribute information obtained by image recognition on the image of the product object performed by an image recognizer set; displaying the plurality of types of product attribute information for selection by a user; generating structured information of the product object according to selection of the product attribute information; and publishing the product object, wherein the publishing comprises publishing the image and the structured information of the product object. Accuracy and efficiency of product object publishing can be improved.

Abstract: Presenting information on similar objects relative to a target object is disclosed, including: obtaining a plurality of video frames; determining a target object in the plurality of video frames using a tracking recognition technique; determining time slice information corresponding to the target object; using the time slice information corresponding to the target object to determine one or more similar objects relative to the target object; receiving an indication to present information on the one or more similar objects relative to the target object; and outputting the information on the one or more similar objects relative to the target object.

Abstract: A permission vector comprising a plurality of permission sets is used to manage permissions to resources of a resource provider. Each of the plurality of permission sets may correspond to a different resource of the resource provider, wherein each resource of the resource provider has an orthogonal relationship to the other resources. Each permission set may include one or more permission elements that define permissions granted to a user for accessing a corresponding resource element of a resource. The permission vector may be used to determine whether to fulfill user requests submitted to the resource provider to perform an operation that includes accessing a set of requested resources.

Abstract: Disclosed are various embodiments for automated determination of application privileges. An application testing service executes an application in a testing computing environment that replicates a production computing environment. The application is given a set of permissions in the testing computing environment. A set of use cases for the application is performed while the application is executing in the testing computing environment. A set of operations invoked by the application to perform the set of use cases is determined. A subset of the set of permissions is generated that corresponds to a minimal set of permissions necessary to invoke the set of operations.

Abstract: A search request sent by a user is received to obtain one or more query words included in the search request. Historical operating information relating to a data object in a search result corresponding to the query words is conducted statistics. An attribute of the data object is selected as a specified attribute to generate a probability distribution model of the attribute value on the specified attribute of the data object. A respective probability corresponding to the attribute value of each data object on the specific attribute in the research result corresponding to the search request sent by the current user is calculated by using the probability distribution model. The output rank of the data objects in the search result is adjusted by using the probability. The present techniques improve reasonability of displaying the data objects in the search result and provide more accurate result.

Abstract: Disclosed are a method and a system for adding annotations into an input medium file. The method comprises a step of creating annotation detection models based on training samples formed by existing media files having annotations; a step of extracting coexistence coefficients of any two annotations based on appearance frequencies of the annotations in the training samples; a step of inputting the input medium file; a step of extracting sense-of-vision features from the input medium file; a step of obtaining initial annotations of the input medium file; a step of acquiring candidate annotations based on the initial annotations and the coexistence coefficients of the annotations in the training samples; and a step of selecting a final annotation set from the candidate annotations based on the sense-of-vision features of the input medium file and the coexistence coefficients by using the annotation detection models.

Abstract: When encoding each element in numeral string data, a code-string data creating unit creates code string data by assigning a code to a focused element to be encoded based on a magnitude relation between the focused element and an element adjacent to the focused element. An control unit stores primary data and the code string data as registration information in an associated manner into a storage unit. When searching for the primary data, a data extracting unit and the code-string data creating unit create code string data from image data, and a searching unit searches data stored in the storage unit based on the created code string data as search information for data having registration information that matches the search information.

Abstract: System, method, and computer-readable medium for seeking representative images in an image set. Text features of each of the plural images are extracted. Diversity data of the image set is obtained based on the text features. A representative score of each of the plural images is calculated based on the diversity data. One or more of the images in the image set is selected as a representative image based on the representative score of the corresponding images.

Abstract: Disclosed are a method and a system for adding annotations into an input medium file. The method comprises a step of creating annotation detection models based on training samples formed by existing media files having annotations; a step of extracting coexistence coefficients of any two annotations based on appearance frequencies of the annotations in the training samples; a step of inputting the input medium file; a step of extracting sense-of-vision features from the input medium file; a step of obtaining initial annotations of the input medium file; a step of acquiring candidate annotations based on the initial annotations and the coexistence coefficients of the annotations in the training samples; and a step of selecting a final annotation set from the candidate annotations based on the sense-of-vision features of the input medium file and the coexistence coefficients by using the annotation detection models.

Abstract: Disclosed are a system, a method, and a computer-readable medium for seeking representative images in an image set. The method comprises a text feature extracting step of extracting text features of each of the plural images; a diversity data obtaining step of obtaining diversity data of the image set based on the text features; a representative score calculating method of calculating a representative score of each of the plural images based on the diversity data; and a representative image selecting step of selecting one or more of the images in the image set based on the representative score of the corresponding images.

Abstract: A first image having annotations is segmented into one or more image regions. Image feature vectors and text feature vectors are extracted from all the image regions to obtain an image feature matrix and a text feature matrix. The image feature matrix and the text feature matrix are projected into a sub-space to obtain the projected image feature matrix and the text feature matrix. The projected image feature matrix and the text feature matrix are stored. First links between the image regions, second links between the first image and the image regions, third links between the first image and the annotations, and fourth links between the annotations are established. Weights of all the links are calculated. A graph showing a triangular relationship between the first image, image regions, and annotations is obtained based on all the links and the weights of the links.

Abstract: When encoding each element in numeral string data, a code-string data creating unit creates code string data by assigning a code to a focused element to be encoded based on a magnitude relation between the focused element and an element adjacent to the focused element. An control unit stores primary data and the code string data as registration information in an associated manner into a storage unit. When searching for the primary data, a data extracting unit and the code-string data creating unit create code string data from image data, and a searching unit searches data stored in the storage unit based on the created code string data as search information for data having registration information that matches the search information.

Abstract: An information processing apparatus displays related information of information displayed in a region when the region is selected from regions displaying predetermined information and is displayed in an enlarged size, and does not display the related information when the selected region is displayed in a reduced size. The apparatus includes a selection unit for selecting the region to be either enlarged or reduced, a display unit for dynamically enlarging or reducing the region selected by the region selection unit, and a control unit for controlling an amount of the related information to be displayed based on an area of the region either enlarged or reduced by the display unit.