A picture may be divided into sub-pictures/slices/tiles. For example, the picture may be divided into sub-picture(s), and subpicture-related information may be used for coding. The sub-picture-related information may be generated by an encoding device and transmitted to a decoding device. According to embodiments of the present document, sub-picture-related information can be efficiently signaled.

A picture may be divided into sub-pictures/slices/tiles. For example, the picture may be divided into sub-picture(s), and subpicture-related information may be used for coding. The sub-picture-related information may be generated by an encoding device and transmitted to a decoding device. According to embodiments of the present document, sub-picture-related information can be efficiently signaled.

The method comprises: connecting to a plurality of AI computing boards in an AI processing resource pool and a plurality of video encoding and decoding boards in a video processing resource pool by means of a unified high-speed interface; respectively allocating a specified number of AI computing boards and video encoding and decoding boards on account of resources and bandwidths required for completing a processing task to form a temporary cooperation relationship based on the processing task; in response to resource overflow or insufficiency in the AI processing resource pool or the video processing resource pool caused by a processing task change, accessing more AI computing boards or video encoding and decoding boards or stopping using redundant AI computing boards or video encoding and decoding boards; performing the processing task on account of the allocated AI computing boards or video encoding and decoding boards, and releasing the temporary cooperation relationship.

The method comprises: connecting to a plurality of AI computing boards in an AI processing resource pool and a plurality of video encoding and decoding boards in a video processing resource pool by means of a unified high-speed interface; respectively allocating a specified number of AI computing boards and video encoding and decoding boards on account of resources and bandwidths required for completing a processing task to form a temporary cooperation relationship based on the processing task; in response to resource overflow or insufficiency in the AI processing resource pool or the video processing resource pool caused by a processing task change, accessing more AI computing boards or video encoding and decoding boards or stopping using redundant AI computing boards or video encoding and decoding boards; performing the processing task on account of the allocated AI computing boards or video encoding and decoding boards, and releasing the temporary cooperation relationship.

The present disclosure provides a method and an apparatus for determining a playback mode. The method includes: obtaining a streaming media data packet; where the streaming media data packet includes at least an encoding format and a streaming media type of streaming media data; the streaming media type includes at least one of a video media type or an audio video media type; and determining, according to the encoding format and the streaming media type of the streaming media data, a plugin-free playback mode for playing back the streaming media data.

The present disclosure provides a method and an apparatus for determining a playback mode. The method includes: obtaining a streaming media data packet; where the streaming media data packet includes at least an encoding format and a streaming media type of streaming media data; the streaming media type includes at least one of a video media type or an audio video media type; and determining, according to the encoding format and the streaming media type of the streaming media data, a plugin-free playback mode for playing back the streaming media data.

A video decoding method according to the present document is characterized by comprising: a step for deriving transform coefficients through inverse quantization on the basis of quantized transform coefficients for a target block; a step for deriving modified transform coefficients on the basis of an inverse reduced secondary transform (RST) of the transform coefficients; and a step for generating a reconstructed picture on the basis of residual samples for the target block on the basis of an inverse primary transform of the modified transform coefficients, wherein the inverse RST using a transform kernel matrix is performed on transform coefficients of the upper-left 4×4 region of an 8×8 region of the target block, and the modified transform coefficients of the upper-left 4×4 region, upper-right 4×4 region, and lower-left 4×4 region of the 8×8 region are derived through the inverse RST.

A three-dimensional data encoding method includes: shifting point cloud data indicating three-dimensional positions in a three-dimensional space by a first shift amount; dividing the point cloud data into pieces of sub point cloud data; shifting each of the pieces of sub point cloud data by a second shift amount based on a position of one of the subspaces that includes the sub point cloud data, the pieces of sub point cloud data being included in the point cloud data shifted by the first shift amount; and encoding the pieces of sub point cloud data shifted, to generate a bitstream. The bitstream includes first shift information for calculating the first shift amount, and pieces of second shift information each for calculating a corresponding one of second shift amounts by which the pieces of sub point cloud data are shifted and each of which is the second shift amount.

A video decoder employs context-adaptive binary arithmetic coding for decoding a video from a data stream. The video decoder determines a parametrization for the context-adaptive binary arithmetic coding.

A method of decoding a coding unit from a coding tree unit of an image frame from a video bitstream. The method comprises determining a scan pattern for a transform block the scan pattern progressing from a current collection to a next collection of the plurality of collections after completing scanning of the current collection; decoding residual coefficients from the video bitstream according to the scan pattern; determining a multiple transform selection index for the coding unit, decoding the multiple transform selection index from the video bitstream if a last significant coefficient encountered along the scan pattern is at or within a threshold cartesian location of the transform block, and determining the multiple transform selection index to indicate that multiple transform selection is not used if the last significant residual coefficient position of the transform block along the scan pattern outside the threshold location; and transforming the decoded residual coefficients.