Abstract: A method of decoding a coded picture of a coded video sequence is performed by at least one processor and the method includes decoding, from a parameter set, a plurality of candidate decoded resolutions, selecting, through an index coded in a transient header structure applicable to a group of samples, a candidate decoded resolution among the plurality of candidate decoded resolutions, resampling a sample of the group of samples based on an output resolution and the selected candidate decoded resolution, and enabling prediction using the resampled sample.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus includes processing circuitry. For example, the processing circuitry obtains reconstructed samples in a temporal source frame that is different from a current frame, and determines filter coefficients of a filter for a current block in the current frame based on at least the reconstructed samples in the temporal source frame. The processing circuitry generates prediction information of the current block based on the determined filter coefficients. The temporal source frame is an inter coded frame that satisfies at least one of a quantization parameter (QP) requirement, a temporal distance requirement, and a reference picture requirement.

Abstract: A plurality of candidate predictions of a current vertex is determined. The current vertex is one of a plurality of vertices of a mesh. Each of the plurality of candidate predictions is determined based on a respective one of a plurality of triangles in the mesh and including two-dimensional (2D) coordinates in a 2D domain. An average prediction of the plurality of candidate predictions is computed. A 2D prediction of the current vertex is selected from a prediction list that includes the plurality of candidate predictions and the average prediction. A three-dimensional (3D) prediction of the current vertex is determined based on one or more neighboring vertices of the current vertex in the mesh. A prediction residue comprising a prediction error of the current vertex is encoded. The prediction residue is obtained based on the selected 2D prediction and the determined 3D prediction of the current vertex.

Abstract: This application provides a service processing method performed by a computer server. The method includes: receiving a message transmission request transmitted by a target Internet of Things (IoT) device; invoking a service processing plug-in to perform access authentication on the target IoT device, the service processing plug-in being configured in a message queuing telemetry transport (MQTT) server; invoking the service processing plug-in to acquire a message operation permission of the target IoT device when the access authentication is passed, the message operation permission indicating a message operation rule corresponding to the target IoT device; and executing a message transmission service indicated by the message transmission request when the message transmission request matches the message operation rule indicated by the message operation permission.

Abstract: This application discloses a transaction processing method and apparatus, a computer device, and a storage medium, and relates to the technical field of databases. The method includes: obtaining a read set and a write set of a target transaction in response to a read-write operation of the target transaction; determining a logical begin time and a logical end time of the target transaction in response to a validation instruction of the target transaction; updating the logical begin time based on the write set in response to the logical begin time and the logical end time conforming to a concurrent consistency level of the target transaction, to obtain an updated logical begin time; and committing the target transaction in response to the updated logical begin time being less than or equal to the logical end time.

Abstract: The present disclosure discloses methods, apparatus, and storage medium for processing blockchain-based data. The method includes: creating a first world state corresponding to an initial block; updating the first world state according to transactions in the initial block to obtain an initial update state, and performing processing of constructing a clean state tree on the initial update state based on a world state chain to obtain an updated first world state including a clean present world state tree; writing a first world state root corresponding to the clean present world state tree into the initial block to obtain a to-be-on-chained block, writing the to-be-on-chained block into a blockchain when the to-be-on-chained block is approved by consensus, committing the updated first world state to a latest on-chain world state step by step via the world state chain, and determining the updated first world state as a new consensus root world state.

Abstract: A computing system receives a video bitstream that includes a current block and a syntax element indicating that the current block is to be predicted in a blending mode. The current block is encoded using information from first and second reference blocks. When a portion of the current block corresponds to a first area that (i) is within corresponding reference boundaries in both of the first and second reference blocks or (ii) is not within the corresponding reference boundaries in both of the first and second reference blocks, the system reconstructs the portion by averaging reference values from the first and second reference blocks. When the portion of the current block corresponds to a second area that is within the corresponding reference boundaries in only one of the first and second reference blocks, the system derives weighted reference values and reconstructs the portion by combining the weighted reference values.

Abstract: A video processing method is provided. The method includes extracting at least two adjacent video frame images from a frame image sequence corresponding to a video, positioning a text region of each video frame image in the at least two adjacent video frame images, determining a degree of similarity between text regions of each video frame image in the at least two adjacent video frame images, determining, based on the degree of similarity, a key video frame segment comprising a same text in the video, and determining a text key frame in the video based on the key video frame segment.

Abstract: A face liveness detection method is provided, and includes: receiving an image transmitted by a terminal, the image including a face of an object; performing data augmentation on the image, to obtain an extended image corresponding to the image, a number of extended images corresponding to the image being more than one; performing liveness detection on the extended images corresponding to the image, to obtain intermediate detection results of the extended images, a liveness detection model used in liveness detection being obtained by performing model training on an initial neural network model according to a sample image and extended sample images corresponding to the sample image; and obtaining a liveness detection result of the object in the image after fusing the intermediate detection results of the extended images.

Abstract: In a display method, a position of a second virtual object is obtained, and when the second virtual object is within a target region outside a visual field picture, indication information of the second virtual object can be displayed at an edge of the current visual field picture, thereby achieving an effective prompt of the information of the second virtual object, and increasing an amount of information displayed in the visual field picture. In addition, the displayed information may be directed to features not shown in the visual field picture, so that an information display effect in a game match is better.

Abstract: A haptic feedback device includes: a first feedback apparatus, including: a fixed platform, a movable platform, a ring disposed on the movable platform, and a power unit disposed on the fixed platform and connected to the movable platform. The power unit is configured to obtain a first control signal generated by a controller and output torsion according to the first control signal. The movable platform is configured to be driven by the torsion to move relative to the fixed platform. The ring is configured to provide feedback force as the movable platform moves, to implement haptic feedback.

Abstract: A method including: receiving an input comprising natural language texts at an encoder; adding a token to the input; obtaining a last-layer hidden state as a natural language text representation; feeding the natural language text representation into a single-layer classification head; predicting a salience allocation based on the single-layer classification head; developing a salience-aware cross-attention (SACA) decoder to determine salience in the natural language text representation; mapping a plurality of salience degrees to a plurality of trainable salience embeddings; estimating an amount of signal to accept from the plurality of trainable salience embeddings; incorporating the salience allocation and the signal in a cross-attention layer model; and generating a summarization based on the SACA decoder and the cross-attention layer model.

Abstract: This disclosure relates generally to video coding/decoding and particularly for providing extension to block adaptive weighted prediction (BAWP) with multiple motion vectors. One method includes receiving a coded video bitstream; identifying, from the coded video bitstream, a first motion vector corresponding to a first reference block and a second motion vector corresponding to a second reference block; obtaining a first scaling factor corresponding to the first motion vector and a second scaling factor corresponding to the second motion vector by parsing the coded video bitstream; generating a first predicted block based on the first scaling factor and the first reference block according to a first linear equation; generating a second predicted block based on the second reference block according to a second linear equation; and reconstructing the current block based on the first predicted block and the second predicted block.

Abstract: This disclosure provides a method and a system for detecting and recognizing a target object in a real-time video. The method includes: determining whether a target object recognition result RX-1 of a previous frame of image of a current frame of image is the same as a target object recognition result RX-2 of a previous frame of image of the previous frame of image; performing target object position detection in the current frame of image by using a first-stage neural network to obtain a position range CX of a target object in the current frame of image when the two recognition results RX-1 and RX-2 are different; or determining a position range CX of a target object in the current frame of image according to a position range CX-1 of the target object in the previous frame of image when the two recognition results RX-1 and RX-2 are the same; and performing target object recognition in the current frame of image according to the position range CX by using a second-stage neural network.

Abstract: An electronic device performs sub-band decomposition on a to-be-coded audio to obtain a to-be-coded low frequency signal corresponding to a low frequency band and a to-be-coded high frequency signal corresponding to a high frequency band. The device performs compression coding on the to-be-coded low frequency signal to obtain low frequency coded data of the to-be-coded low frequency signal. The device determines high frequency prediction information according to the to-be-coded low frequency signal. The device performs feature extraction on the to-be-coded high frequency signal to obtain high frequency feature information. The device determines high frequency compensation information of the to-be-coded high frequency signal according to a difference between the high frequency feature information and the high frequency prediction information.

Abstract: This application provides an information recommendation method, an electronic device, and a computer readable storage medium. The method includes: in response to receiving a recommendation instruction in an application for a target account: displaying, on a display interface of the application, a gap in operation capability data of the application between the target account and a second account; and displaying guidance content corresponding to operation capability data of the target account. The guidance content is used to improve the operation capability data of the target account.

Abstract: A model determining method including obtaining a first image sample, inputting the first image sample to an initial encoder of an initial identification model to obtain a first image sample feature, generating a second image sample feature based on the first image sample feature, separately inputting the first and second image sample features to an initial decoder to obtain a first texture image and a second texture image, inputting the first image sample feature and the first texture image to an initial classifier to obtain a first prediction result, inputting the second image sample feature and the second texture image to the initial classifier to obtain a second prediction result, generating an identification loss function based on a difference between each of the first and the second prediction results and an identification tag, and training an initial identification model using the identification loss function to obtain an updated identification model.

Abstract: Neighboring blocks of a current block include first blocks adjacent to one of a top side, an above left corner, and an above right corner of the current block and second blocks adjacent to one of a left side and a below left corner of the current block. Whether one or more of the first blocks and the current block are in a same coding tree unit (CTU) is determined. Based on the one or more of the first blocks and the current block being in the same CTU, a respective intra mode associated with each of the one or more of the first blocks is added into a most probable mode (MPM) list for the current block based on a sequence of conditions. A respective intra mode associated with each of the second blocks is added into the MPM list based on the sequence of conditions.

Abstract: Some aspects of the disclosure provide a method of video decoding. In the method, a coded video bitstream comprising coded information of a current block in a current picture is received. The coded information of the current block indicates an intra prediction mode for the current block. One or more in-loop filters is applied on one or more reconstructed samples in the current picture to generate one or more filtered reconstructed samples. The current block is reconstructed using the intra prediction mode and based on the one or more filtered reconstructed samples.

Abstract: This disclosure relates to a method and device for processing cross-blockchain transactions. The method includes: acquiring a cross-blockchain transaction processing request from the source blockchain network by the first interface node, and distributing the cross-blockchain transaction processing request to the first number of relays; performing a first verification and a signature on the cross-blockchain transaction processing request by the relays to generate sub-signatures; generating a first signature of the relay system by the signature aggregation node after obtaining a second number of sub-signatures; and transmitting the cross-blockchain transaction processing request and the first signature to the target blockchain network.