Parallel decoding of clontext-based adaptive binary arithmetic codes based on most probable symbol prediction

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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 mainly due to CABAC, it is difficult to achieve a fast decoder because the decoding algorithm is basically sequential and computationally intensive. In this letter, a prediction scheme is proposed that enhances 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.
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Issue Date
2007-02
Language
English
Article Type
Article
Keywords

COMPRESSION

Citation

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E90D, no.2, pp.609 - 612

ISSN
0916-8532
DOI
10.1093/ietisy/e90-d.2.609
URI
http://hdl.handle.net/10203/86767
Appears in Collection
EE-Journal Papers(저널논문)
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