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High speed decoding of context-based adaptive binary arithmetic codes using most probable symbol prediction | IEEE Conference Publication | IEEE Xplore

High speed decoding of context-based adaptive binary arithmetic codes using most probable symbol prediction


Abstract:

Context-based adaptive binary arithmetic coding (CABAC) is the major entropy-coding algorithm employed in H.264/AVC. Although the performance gain of H.264/AVC is mostly ...Show More

Abstract:

Context-based adaptive binary arithmetic coding (CABAC) is the major entropy-coding algorithm employed in H.264/AVC. Although the performance gain of H.264/AVC is mostly resulted from CABAC, it is difficult to achieve a fast decoder because the decoding algorithm is basically sequential. In this paper, a prediction scheme is proposed to enhance overall decoding performance by decoding two binary symbols at a time. A CABAC decoder based on the proposed prediction scheme improves the decoding performance by 24% compared to conventional decoders.
Date of Conference: 21-24 May 2006
Date Added to IEEE Xplore: 11 September 2006
Print ISBN:0-7803-9389-9

ISSN Information:

Conference Location: Kos, Greece

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