Invention Grant
- Patent Title: Simplifications of cross-component linear model
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Application No.: US17225955Application Date: 2021-04-08
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Publication No.: US11323726B2Publication Date: 2022-05-03
- Inventor: Yi-Wen Chen , Xianglin Wang
- Applicant: BEIJING DAJIA INTERNET INFORMATION TECHNOLOGY CO., LTD.
- Applicant Address: CN Beijing
- Assignee: BEIJING DAJIA INTERNET INFORMATION TECHNOLOGY CO., LTD.
- Current Assignee: BEIJING DAJIA INTERNET INFORMATION TECHNOLOGY CO., LTD.
- Current Assignee Address: CN Beijing
- Agency: Morgan, Lewis & Bockius LLP
- Main IPC: H04N19/44
- IPC: H04N19/44 ; H04N19/132 ; H04N19/105 ; H04N19/186 ; H04N19/176 ; H04N19/30 ; H04N19/59

Abstract:
A computing device performs a method of decoding video data by reconstructing a luma block corresponding to a chroma block; searching a sub-group of a plurality of reconstructed neighboring luma samples in a predefined order to identify a maximum luma sample and a minimum luma sample; computing a down-sampled maximum luma sample corresponding to the maximum luma sample; computing a down-sampled minimum luma sample corresponding to the minimum luma sample; generating a linear model using the down-sampled maximum luma sample, the down-sampled minimum luma sample, the first reconstructed chroma sample, and the second reconstructed chroma sample; computing down-sampled luma samples from luma samples of the reconstructed luma block, wherein each down-sampled luma sample corresponds to a chroma sample of the chroma block; and predicting chroma samples of the chroma block by applying the liner model to the corresponding down-sampled luma samples.
Public/Granted literature
- US20210227240A1 SIMPLIFICATIONS OF CROSS-COMPONENT LINEAR MODEL Public/Granted day:2021-07-22
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