Parallel Decoding of Context-Based Adaptive Binary Arithmetic Codes Based on Most Probable Symbol Prediction

Chung-Hyo KIM  In-Cheol PARK  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E90-D   No.2   pp.609-612
Publication Date: 2007/02/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e90-d.2.609
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
Keyword: 
video coding,  arithmetic codes,  prediction theory,  entropy codes,  

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Summary: 
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.