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Parallel Decoding of Context-Based Adaptive Binary Arithmetic Codes Based on Most Probable Symbol Prediction
Chung-Hyo KIM In-Cheol PARK
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2007/02/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
video coding, arithmetic codes, prediction theory, entropy codes,
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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.