Parallel Decoding of Context-Based Adaptive Binary Arithmetic Codes Based on Most Probable Symbol Prediction(Image Processing and Video Processing)
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概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 2007-02-01
著者
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PARK In-Cheol
Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and T
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Kim Chung-hyo
Power Generation Laboratory Korea Electric Power Research Institute
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Park In‐cheol
Department Of Electrical Engineering Korea Advanced Institute Of Science And Technology
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Park In-cheol
Department Of Eecs Kaist
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