Invention Grant
- Patent Title: Reducing context models for entropy coding of transform coefficients
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Application No.: US18070014Application Date: 2022-11-28
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Publication No.: US11805277B2Publication Date: 2023-10-31
- Inventor: Cheung Auyeung , Xin Zhao , Xiang Li , Shan Liu
- Applicant: TENCENT AMERICA LLC
- Applicant Address: US CA Palo Alto
- Assignee: TENCENT AMERICA LLC
- Current Assignee: TENCENT AMERICA LLC
- Current Assignee Address: US CA Palo Alto
- Agency: ARENTFOX SCHIFF LLP
- Main IPC: H04N19/60
- IPC: H04N19/60 ; H04N19/124 ; H04N19/18 ; H04N19/176 ; H04N19/70 ; H04N19/136 ; H04N19/91 ; H04N19/167

Abstract:
A method of video decoding in a decoder is provided. In the method, a coded video bitstream is received. For a scan position in the transform block, an offset value is determined based on a template magnitude for a template of the scan position. The offset value is constrained based on a first number of context models for each frequency region. For the scan position, a base value is determined based on the first number and the scan position. A context model index is determined based on a sum of the offset value and the base value. A context model is selected from a plurality of context models based on the context model index. A value of a syntax element at the scan position is determined based on the context model. A transform coefficient at the scan position is determined based on the value of the syntax element.
Public/Granted literature
- US20230090063A1 REDUCING CONTEXT MODELS FOR ENTROPY CODING OF TRANSFORM COEFFICIENTS Public/Granted day:2023-03-23
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