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

Chung-Hyo KIM; In-Cheol PARK

doi:10.1093/ietisy/e90-d.2.609

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

Chung-Hyo KIM, In-Cheol PARK

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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.

Publication: IEICE TRANSACTIONS on Information Vol.E90-D No.2 pp.609-612

Publication Date: 2007/02/01

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Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e90-d.2.609

Type of Manuscript: LETTER

Category: Image Processing and Video Processing

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Chung-Hyo KIM, In-Cheol PARK, "Parallel Decoding of Context-Based Adaptive Binary Arithmetic Codes Based on Most Probable Symbol Prediction" in IEICE TRANSACTIONS on Information, vol. E90-D, no. 2, pp. 609-612, February 2007, doi: 10.1093/ietisy/e90-d.2.609.
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 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.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.2.609/_p

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@ARTICLE{e90-d_2_609,
author={Chung-Hyo KIM, In-Cheol PARK, },
journal={IEICE TRANSACTIONS on Information},
title={Parallel Decoding of Context-Based Adaptive Binary Arithmetic Codes Based on Most Probable Symbol Prediction},
year={2007},
volume={E90-D},
number={2},
pages={609-612},
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 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.},
keywords={},
doi={10.1093/ietisy/e90-d.2.609},
ISSN={1745-1361},
month={February},}

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TY - JOUR
TI - Parallel Decoding of Context-Based Adaptive Binary Arithmetic Codes Based on Most Probable Symbol Prediction
T2 - IEICE TRANSACTIONS on Information
SP - 609
EP - 612
AU - Chung-Hyo KIM
AU - In-Cheol PARK
PY - 2007
DO - 10.1093/ietisy/e90-d.2.609
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2007
AB - 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.
ER -