This application relates to a video encoding method performed at a computer device. The method includes: obtaining an input video frame; determining a processing parameter corresponding to the input video frame; selecting, from candidate processing manners according to the processing parameter, a target processing manner corresponding to the input video frame, the candidate processing manners comprising a full-resolution processing manner and a downsampling processing manner; and encoding the input video frame according to the target processing manner, to obtain encoded data corresponding to the input video frame. Therefore, the target processing manner of the input video frame can be flexibly selected, and the input video frame is encoded according to the target processing manner, to adaptively adjust a resolution of the input video frame, and improve video encoding quality.

The invention relates to a method of encoding a digital image in order to compress same, the digital image being defined as a point cloud associating a set of N pixels, designated as vertices, to a scalar intensity value. The method aims at establishing triangulation vertices of the digital image and implements the principles of algorithmic topology.

Methods and apparatus are provided for encoding and decoding binary sets using adaptive tree selection. In one exemplary encoding method embodiment, picture data is encoded for a block in a picture; in which one of a plurality of trees structures is selected to code a binary set of data for indicating coefficient significance for the block. In another exemplary encoding method embodiment, picture data is encoded for a block in a picture, in which one or more trees are used to encode a binary set of data for indicating coefficient significance for the block, the one or more trees each having a plurality of nodes, at least one of the nodes of the one or more trees being modified responsive to at least one parameter.

Methods and apparatus are provided for encoding and decoding binary sets using adaptive tree selection. In one exemplary encoding method embodiment, picture data is encoded for a block in a picture; in which one of a plurality of trees structures is selected to code a binary set of data for indicating coefficient significance for the block. In another exemplary encoding method embodiment, picture data is encoded for a block in a picture, in which one or more trees are used to encode a binary set of data for indicating coefficient significance for the block, the one or more trees each having a plurality of nodes, at least one of the nodes of the one or more trees being modified responsive to at least one parameter.

A video signal decoding device comprises a processor, wherein: the processor decodes a sequence parameter set (SPS) raw byte sequence payload (RBSP) syntax included in a bitstream of a video signal, and decodes the bitstream on the basis of the decoding result of the SPS RBSP syntax; the SPS RBSP syntax includes a first syntax element related to the number of one or more sub-pictures configuring one picture, and a second syntax element indicating whether to process a boundary of the one or more sub-pictures as a boundary of the one picture on the basis of the first syntax element; and the second syntax element is parsed only when the number of the one or more sub-pictures is two or more.

A video signal decoding device comprises a processor, wherein: the processor decodes a sequence parameter set (SPS) raw byte sequence payload (RBSP) syntax included in a bitstream of a video signal, and decodes the bitstream on the basis of the decoding result of the SPS RBSP syntax; the SPS RBSP syntax includes a first syntax element related to the number of one or more sub-pictures configuring one picture, and a second syntax element indicating whether to process a boundary of the one or more sub-pictures as a boundary of the one picture on the basis of the first syntax element; and the second syntax element is parsed only when the number of the one or more sub-pictures is two or more.

A video coding mechanism for viewpoint dependent video coding is disclosed. The mechanism includes mapping a spherical video sequence into a plurality of sub-picture video sequences. The mechanism further includes encoding the plurality of sub-picture video sequences as sub-picture bitstreams to support merging of the plurality of sub-picture bitstreams, the encoding ensuring that each sub-picture bitstream is self-referenced and two or more of the sub-picture bitstreams can be merged to generate a single video bitstream using a lightweight bitstream rewriting process that does not involve changing of any block-level coding results. A mergable indication is encoded to indicate that the sub-picture bitstream containing the indication is compatible with a multi-bitstream merge function for reconstruction of the spherical video sequence. A set of the sub-picture bitstreams and the mergable indication are transmitted toward the decoder to support decoding and displaying a virtual reality video viewport.

A video coding mechanism for viewpoint dependent video coding is disclosed. The mechanism includes mapping a spherical video sequence into a plurality of sub-picture video sequences. The mechanism further includes encoding the plurality of sub-picture video sequences as sub-picture bitstreams to support merging of the plurality of sub-picture bitstreams, the encoding ensuring that each sub-picture bitstream is self-referenced and two or more of the sub-picture bitstreams can be merged to generate a single video bitstream using a lightweight bitstream rewriting process that does not involve changing of any block-level coding results. A mergable indication is encoded to indicate that the sub-picture bitstream containing the indication is compatible with a multi-bitstream merge function for reconstruction of the spherical video sequence. A set of the sub-picture bitstreams and the mergable indication are transmitted toward the decoder to support decoding and displaying a virtual reality video viewport.

A coding amount estimation device includes: a feature vector generation unit that generates a feature vector on the basis of a feature map generated by an estimation target image and at least one filter set in advance; and a coding amount evaluation unit that evaluates a coding amount of the estimation target image on the basis of the feature vector.

A coding amount estimation device includes: a feature vector generation unit that generates a feature vector on the basis of a feature map generated by an estimation target image and at least one filter set in advance; and a coding amount evaluation unit that evaluates a coding amount of the estimation target image on the basis of the feature vector.