Invention Publication
- Patent Title: CONTEXT MODELING IN ENTROPY CODING
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Application No.: US18468900Application Date: 2023-09-18
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Publication No.: US20240129472A1Publication Date: 2024-04-18
- Inventor: Yeqing WU , Yunfei ZHENG , Alican NALCI , Yixin DU , Hilmi Enes EGILMEZ , Guoxin JIN , Alexandros TOURAPIS , Jun XIN , Hsi-Jung WU
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Main IPC: H04N19/13
- IPC: H04N19/13 ; H04N19/129 ; H04N19/176

Abstract:
Improved lossless entropy coding techniques for coding of image data include selecting a context for entropy coding based on an ordered scan path of possible context locations. A symbol for a current location within a source image may be entropy coded based on a context of prior encoded symbols of other locations within source images, where the context is selected based on an ordered scan path enumerating a series of potential context locations within one or more source images. To select a context, a predetermined number of prior symbols may be selected by qualifying or disqualifying locations in the scan path, and then the current symbol may be encoded with a context based on prior symbols corresponding to the first qualifying context locations in the order of the scan path.
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