Abstract: Data routing with a forwarding process of service data can avoid problems of offline nodes. The forwarding process for data routing can also improve the fault tolerance and service data can be quickly transmitted to a corresponding data pool. Using consensus nodes and a target data pool with routing and forwarding tables along with subtrees from a trie tree can improve the routing. Subtrees may be obtained by splitting the trie tree from a root node by using a first leaf node as a benchmark, which correspondingly represents a data pool of the consensus node. The routing and forwarding table is configured to record addresses of data pools correspondingly represented by a preset quantity of leaf nodes in a corresponding subtree.

Abstract: This application discloses a method and apparatus for displaying a virtual item, an electronic device, and a storage medium, and belongs to the field of computer technologies. The method includes: displaying a virtual object in a virtual scene, the virtual object having a plurality of virtual items, and the plurality of virtual items respectively having virtual functions; and displaying a virtual combined item in the virtual scene in response to a first trigger operation targeting at least two virtual items of the plurality of virtual items, the virtual combined item being obtained by combining the at least two virtual items, and the virtual combined item supporting a new virtual function different from the virtual functions of the at least two virtual items.

Abstract: A method for federated data query includes: using, by a first electronic device, a joint query statement corresponding to a federated data query to obtain at least one operator containing a joint query operator; transforming the joint query operator to a first joint security operator; determining first data for intersection on the first electronic device by executing the first joint security operator, receiving second data for intersection from a second electronic device involved in the federated data query, and performing joint computing on the first data for intersection and the second data for intersection in a form of a ciphertext to obtain a joint data table; and determining a federated data query result corresponding to the at least one operator based on the joint data table.

Abstract: Embodiments of this disclosure disclose a resource transfer data management method and apparatus, and a storage medium, which belong to the field of Internet technologies. The method includes: receiving transaction data transmitted by a first server, wherein the transaction data is obtained by the first server by signing resource transfer data according to a private key of the first server; verifying the transaction data according to a public key of the first server; and generating a second block according to the transaction data and a feature value of a first block in a blockchain when the verification succeeds, and adding the second block as a next block of the first block to the blockchain.

Abstract: A method for three-dimensional edge detection includes obtaining, for each of plural two-dimensional slices of a three-dimensional image, a two-dimensional object detection result and a two-dimensional edge detection result, stacking the two-dimensional object detection results into a three-dimensional object detection result, and stacking the two-dimensional edge detection results into a three-dimensional edge detection result. The method also includes performing encoding according to a feature map of the three-dimensional image, the three-dimensional object detection result, and the three-dimensional edge detection result, to obtain an encoding result, and performing decoding according to the encoding result, the three-dimensional object detection result, and the three-dimensional edge detection result, to obtain an optimized three-dimensional edge detection result of the three-dimensional image.

Abstract: A method of point cloud decapsulation includes obtaining a first information data box of a first content entity that carries point cloud data of a point cloud in a point cloud file. The first information data box includes a first entity identifying field configured to indicate an alternative attribute of the first content entity associated with at least two point cloud bitstreams of the point cloud. A first value of the first entity identifying field indicates that the first content entity belongs to a single point cloud bitstream of the at least two point cloud bitstreams, a second value of the first entity identifying field indicates that the first content entity is a common portion shared by the at least two point cloud bitstreams. The method also includes decapsulating the point cloud file based on the first information data box.

Abstract: This application relates to a video compression and video decompression that includes: generating, based on a key frame and a forward search frame of a video, a pixel kernel of each pixel in the key frame; performing smoothness constraint processing on the pixel kernel, to obtain a target pixel kernel; compressing the key frame and the target pixel kernel, to obtain a compressed key frame and a compressed pixel kernel; compressing a residual graph between the forward search frame and a predicted frame, to obtain a compressed graph, the predicted frame being a video frame generated based on the target pixel kernel and the key frame; and obtaining a compressed video packet according to the compressed graph, the compressed key frame, and the compressed pixel kernel.

Abstract: In a method for displaying an effect in a virtual scene, a main virtual object is displayed in a battle region of the virtual scene. The battle region includes a plurality of battle subregions. A first highlight effect in the plurality of battle subregions is displayed. The first highlight effect indicates that the plurality of battle subregions is available to be selected. A second highlight effect in a selected subregion of the plurality of battle subregions is displayed. The second highlight effect represents an impact attribute of the selected subregion of the main virtual object. The impact attribute is based on a location of the main virtual object and the selected subregion.

Abstract: In an animation processing method, a first animation is displayed in a view interface. The first animation includes a first animation element having a first animation effect in the first animation. When a message that contains key content is displayed in the view interface during playback of the first animation, a second animation associated with the key content is displayed in the view interface. The second animation includes a second animation element. The first animation is updated when the second animation element interacts with the first animation element. The first animation element has a second animation effect in the updated first animation. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: An electronic device presents, on a display of the electronic device, a session interface. The session interface includes at least one multimedia message. The electronic device determines a first multimedia message in response to a first selection operation received through the session interface. The first multimedia message carries first multimedia data. The electronic device determines second multimedia data in response to a second selection operation. The electronic device presents a synthesis interface in response to receiving a multimedia synthesis instruction, and performs synthesis processing on the first multimedia data and the second multimedia data to obtain synthesized multimedia data.

Abstract: This disclosure relates to a method for vertical federated learning. In multiple participation nodes deployed in a multi-way tree topology, an upper-layer participation node corresponds to k lower-layer participation nodes. After the upper-layer participation node and the k lower-layer participation nodes exchange public keys with each other, the upper-layer participation node performs secure two-party joint computation with the lower-layer participation nodes with a first public key and second public keys as encryption parameters to obtain k two-party joint outputs of a federated model. Further, the upper-layer participation node aggregates the k two-party joint outputs to obtain a first joint model output corresponding to the federated model. As such, a multi-way tree topology deployment-based vertical federated learning architecture is provided, improving the equality of each participation node in a vertical federated learning process.

Abstract: A data processing method for an electronic device includes: obtaining data rebalance information representing a new partition plan for a partition table, the partition table being a table for data distribution based on a partition key; creating, for a set specified in the partition plan, a corresponding partition space, and recording, in the corresponding partition space, a current data range of a set corresponding to the partition space, the data range comprising one of a value range of the partition key and a value list of the partition key; updating the data range recorded in the corresponding partition space based on the partition plan, and updating correspondence between the corresponding partition space and sets of the partition table by using the updated data range in the corresponding partition space; and updating data distribution in the sets of the partition table based on the correspondence.

Abstract: A video encoding method includes: acquiring a coding block of a video image frame; determining a partitioning mode available to the coding block according to a size of the coding block and an allowable maximum sub-block size ratio in response to a determination that sub-block transform (SBT) is to be performed on the coding block; determining, based on the partitioning mode available to the coding block, a target partitioning mode used during the SBT performed on the coding block; and partitioning the coding block based on the target partitioning mode, and decoding a plurality of sub-blocks obtained through the partitioning.

Abstract: A method and an apparatus for generating a video with a three-dimensional (3D) effect, a method and an apparatus for playing a video with a 3D effect, and a device are provided. The method includes: obtaining an original video; segmenting at least one frame of raw image of the original video to obtain a foreground image sequence including a moving object, the foreground image sequence including at least one frame of foreground image; determining, based on the foreground image sequence, a target raw image in which a target occlusion image is to be placed and an occlusion method of the target occlusion image in the target raw image; adding the target occlusion image to the target raw image based on the occlusion method to obtain a final image; and generating a target video with a 3D effect based on the final image and the original video.

Abstract: A data processing method for immersive media including acquiring point cloud data, encoding the point cloud data to obtain a point cloud code stream and a header information set, determining reuse indication information of the point cloud code stream based on a reuse state of the header information set, generating decoder configuration record information for the point cloud code stream according to the reuse state, and encapsulating the point cloud code stream and the decoder configuration record information as a media file of the immersive media.

Abstract: A method for training an image recognition model includes: obtaining training image sets; obtaining a first predicted probability, a second predicted probability, a third predicted probability, and a fourth predicted probability based on the training image sets by using an initial image recognition model; determining a target loss function according to the first predicted probability, the second predicted probability, the third predicted probability, and the fourth predicted probability; and training the initial image recognition model based on the target loss function, to obtain an image recognition model.

Abstract: This disclosure relates to an object account grouping method and apparatus. The method includes: displaying aggregation information corresponding to at least one object account, the aggregation information including at least two dimensions of identity association information, such as identity information of the object account, chat information of a local object account and the object account, and interaction information of the object account and the local object account in a social circle; determining, in response to a group selection operation triggered for the aggregation information on a selection control of a group tag, a target group to which a target object account in the at least one object account belongs; and adding the target object account to the target group.

Abstract: In a data processing method, a first training sample is received. The first training content data is encoded by using a first context encoding model to obtain a first context feature representation corresponding to the first training entity. The first semantic feature data is encoded by using a to-be-trained first entity encoding model to obtain a first semantic feature representation corresponding to the first training entity. A first feature representation loss is determined based on first similarity information between the first context feature representation and the first semantic feature representation. First model parameters of the to-be-trained first entity encoding model are adjusted based on the first feature representation loss to obtain a trained first entity encoding model. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A method of model training includes obtaining a data set for training an interest alignment model of cross domain recommendation, the data set includes first domain data and second domain data. The method also includes performing a first feature extraction on the first domain data according to the interest alignment model to obtain a first domain feature representation and performing a second feature extraction on the second domain data according to the interest alignment model to obtain a second domain feature representation. Further, the method includes performing an interest alignment between the first domain and the second domain according to the interest alignment model based on the first domain feature representation and the second domain feature representation; and training the interest alignment model in a direction that reduces at least one of a first loss and a second loss, to obtain a trained interest alignment model.

Abstract: A video decoding method, includes: partitioning a chroma block into at least one chroma sub-block based on determining a first block vector (BV) of the chroma block is derived from a second BV of a luma block; acquiring a third BV of a first luma sub-block corresponding to the at least one chroma sub-block; mapping the third BV to a fourth BV of the at least one chroma sub-block according to a chroma scale factor of video to be decoded; and decoding the chroma block according to the fourth BV to obtain a reconstructed block corresponding to the chroma block.