Beijing Bytedance Network Technology Co., Ltd.

Bytedance Inc.

Bytedance (hk) Limited

Lemon Inc.

Junru Li

Kai Zhang

Hongbin Liu

Li Feng Zhang

Yue Wang

Siwei Ma

Meng Wang

Shiqi Wang

Tianliang Fu

Yuwen He

Yue Li

Xi Xie

Devices, systems and methods for digital video coding, which includes Prediction from Multiple Cross-components (PMC) methods, are described. An exemplary method for video processing includes making a first determination that a cross-component prediction (CCP) mode is disabled for a conversion between a video block of a video and a bitstream representation of the video and making a second determination, based on the first determination, regarding whether a first syntax element indicating usage of an enhanced Two-Step Cross-component Prediction Mode (TSCPM) coding tool or an enhanced cross-component linear model (CCLM) coding tool is included in the bitstream representation. The method also includes performing a conversion based on the second determination.

Cross-component prediction using multiple components

Methods, systems and devices for sample string processing in intra coding are described. An example method of video processing includes determining, for a conversion between a video comprising a current block and a bitstream of the video, whether a first sample string of the current block forms a rectangle, and performing, based on the determining, the conversion, wherein the determining is based on a position and a length of the first sample string.

Sample string processing in intra coding

A mechanism for processing video data implemented by a video coding apparatus is disclosed. The mechanism determines usage of one or more of a separate tree coding and a partitioning beyond a minimum size threshold for a video unit. The mechanism also disables a cross-component coding tool for the video unit based on the determination. A conversion between a visual media data and a bitstream is performed in accordance with the coding tool being disabled.

Separate tree coding restrictions

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.

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Beijing, China

Junru Li