Beijing Bytedance Network Technology Co., Ltd.

Bytedance Inc.

Bytedance (hk) Limited

Lemon Inc.

Junru Li

Kai Zhang

Li Feng Zhang

Hongbin Liu

Yue Wang

Siwei Ma

Shiqi Wang

Meng Wang

Yuwen He

Li Zhang

Yue Li

Tianliang Fu

Methods, systems and devices for video coding using sample string vectors are described. An example method of video processing includes determining, for a conversion between a video including a current block and a bitstream of the video, an availability of a block vector of one or more non-adjacent neighboring blocks of the current block for a prediction of a block vector of the current block according to a rule, and performing, based on the determining, the conversion, wherein the rule specifies a pre-defined order for checking the one or more non-adjacent neighboring blocks.

Video coding using sample string vector

A video processing method includes performing a conversion between a video including a video unit and a coded representation of the video, where, after the video unit is encoded or decoded with an intra prediction mode, one or more frequence tables and/or one or more sorted intra prediction mode (IPM) tables are selectively updated according to a rule, where the one or more frequence tables include information about frequence of the intra prediction mode used for processing the video unit in the conversion, where the frequence indicates an occurrence of the intra prediction mode used for the conversion, and where the one or more sorted IPM tables indicate the intra prediction mode used in the processing.

Updating for counter-based intra prediction mode

Examples of video encoding methods and apparatus and video decoding methods and apparatus are described. An example method of processing video data includes determining, for a conversion between a video block of a video and a bitstream of the video, a gradient of a prediction vector at a sub-block level for the video block according to a rule, wherein the rule specifies to use a same gradient value is assigned for all samples within a sub-block of the video block; and performing the conversion based on the determining.

Affine prediction improvements for video coding

A method implemented by a video coding apparatus includes applying a neural network (NN) filter to an unfiltered sample of a video unit to generate a filtered sample. The NN filter is applied based on a syntax element of the video unit. The method also includes converting between a video media file and a bitstream based on the filtered sample that was generated.

Unified neural network in-loop filter signaling

A video processing method includes performing a conversion between a video comprising multiple video units and a coded representation of the video in which the multiple video units are processed in an order, where, when a video unit of the multiple video units is processed in the conversion, one or more frequence tables and/or one or more sorted intra prediction mode (IPM) tables are reset or initialized, where the one or more frequence tables include information about frequence of one or more intra prediction modes used for processing previous video units in the multiple video units, where the previous video units precede in time the video unit, where the frequence indicates an occurrence of the one or more intra prediction modes used for the conversion, and where the one or more sorted IPM tables indicate the one or more intra prediction modes used in the processing.

Initialization for counter-based intra prediction mode

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Beijing, China

Junru Li