US 11,659,170 B2
Systems and methods for intra prediction
Feiyang Zeng, Hangzhou (CN); Jucai Lin, Hangzhou (CN); Jun Yin, Hangzhou (CN); Dong Jiang, Hangzhou (CN); and Cheng Fang, Hangzhou (CN)
Assigned to ZHEJIANG DAHUA TECHNOLOGY CO., LTD., Hangzhou (CN)
Filed by ZHEJIANG DAHUA TECHNOLOGY CO., LTD., Zhejiang (CN)
Filed on Jun. 16, 2021, as Appl. No. 17/349,844.
Application 17/349,844 is a continuation of application No. PCT/CN2019/126515, filed on Dec. 19, 2019.
Claims priority of application No. 201811642987.1 (CN), filed on Dec. 29, 2018; and application No. 201910185729.3 (CN), filed on Mar. 12, 2019.
Prior Publication US 2021/0314564 A1, Oct. 7, 2021
Int. Cl. H04N 19/11 (2014.01); H04N 19/186 (2014.01); H04N 19/132 (2014.01); H04N 19/176 (2014.01); H04N 19/593 (2014.01)
CPC H04N 19/11 (2014.11) [H04N 19/132 (2014.11); H04N 19/176 (2014.11); H04N 19/186 (2014.11); H04N 19/593 (2014.11)] 19 Claims
OG exemplary drawing
 
1. A system for intra prediction, comprising:
at least one storage medium including a set of instructions for intra prediction; and
at least one processor in communication with the storage medium, wherein when executing the set of instructions, the at least one processor is directed to perform operations including:
obtaining a current chroma block;
obtaining a plurality of luma prediction modes, wherein the plurality of luma prediction modes includes prediction modes at a plurality of positions of a luma block associated with the current chroma block; and
selecting a luma prediction mode from the plurality of luma prediction modes as a candidate chroma prediction mode for predicting samples of the current chroma block, wherein the selecting the luma prediction mode from the plurality of luma prediction modes as the candidate chroma prediction mode includes:
determining a count for each type of luma prediction modes of the plurality of luma prediction modes;
assigning a weight for a luma prediction mode at each position of the plurality of positions; and
determining the candidate chroma prediction mode based on the count of luma prediction modes for each type and the weight for the luma prediction mode at each position.