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High precision probability estimation for CABACстатья
- Авторы: Alshin Alexander, Alshina Elena, Park JeongHoon
- Сборник: 2013 Visual Communications and Image Processing (VCIP)
- Год издания: 2013
- Место издания: IEEE
- DOI: 10.1109/vcip.2013.6706454
- Аннотация: Entropy coding is the main important part of all advanced video compression schemes. Context-adaptive binary arithmetic coding (CABAC) is entropy coding used in H.264/MPEG-4 AVC and H.265/HEVC standards. Probability estimation is the key factor of CABAC performance efficiency. In this paper high accuracy probability estimation for CABAC is presented. This technique is based on multiple estimations using different models. Proposed method was efficiently realized in integer arithmetic. High precision probability estimation for CABAC provides up-to 1,4% BD-rate gain.
- Добавил в систему: Альшин Александр Борисович