Invention Grant
- Patent Title: Transform kernel selection and entropy coding
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Application No.: US15630071Application Date: 2017-06-22
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Publication No.: US11405645B2Publication Date: 2022-08-02
- Inventor: Jingning Han , Yaowu Xu , Ching-Han Chiang
- Applicant: GOOGLE LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Young Basile Hanlon & MacFarlane, P.C.
- Main IPC: H04N11/02
- IPC: H04N11/02 ; H04N19/60 ; G06N7/00 ; G06N20/10 ; H04N19/12 ; H04N19/176 ; H04N19/137 ; H04N19/463 ; H04N11/04 ; H04N19/127 ; H04N19/157

Abstract:
Transform kernel candidates including a vertical transform type associated with a vertical motion and a horizontal transform type associated with a horizontal motion can be encoded or decoded. During an encoding operation, a residual block of a current block is transformed according to a selected transform kernel candidate to produce a transform block. A probability model for encoding the selected transform kernel candidate is then identified based on neighbor transform blocks of the transform block. The selected transform kernel candidate is then encoded according to the probability model. During a decoding operation, the encoded transform kernel candidate is decoded using the probability model. The encoded transform block is then decoded by inverse transforming dequantized transform coefficients thereof according to the decoded transform kernel candidate.
Public/Granted literature
- US20180249179A1 Transform Kernel Selection and Entropy Coding Public/Granted day:2018-08-30
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