A block type decision algorithm for H.264/AVC intra prediction based on entropy feature

Guifen Tian; Tianruo Zhang; Xianghui Wei; Satoshi Goto

doi:10.1109/APCCAS.2008.4746278

A block type decision algorithm for H.264/AVC intra prediction based on entropy feature

Guifen Tian^*, Tianruo Zhang, Xianghui Wei, Satoshi Goto

^*この研究の対応する著者

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

Rate Distortion Optimization (RDO) based spatial intra prediction is an important new feature in H.264/AVC. It encodes each MB with variable block sizes and variable coding modes. Thus, drastically increased computation complexity is involved. This paper proposes an efficient block type decision algorithm. Entropy feature of each MB is extracted before intra coding. Based on this feature, proposed algorithm can decide the best block size for each MB instead of exhaustively examining all block sizes. Sufficient experiment results show that proposed algorithm achieves about 95% decision accuracy with PSNR loss less than 0.004dB; bit-rate increase is negligible and time reduction is 22% to 33%, as target frame sizes changing from QCIF to HDTV (1080p).

本文言語	English
ホスト出版物のタイトル	IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
ページ	1348-1351
ページ数	4
DOI	https://doi.org/10.1109/APCCAS.2008.4746278
出版ステータス	Published - 2008
イベント	APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems - Macao 継続期間: 2008 11月 30 → 2008 12月 3

Other

Other	APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems
City	Macao
Period	08/11/30 → 08/12/3

ASJC Scopus subject areas

電子工学および電気工学

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10.1109/APCCAS.2008.4746278

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引用スタイル

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title = "A block type decision algorithm for H.264/AVC intra prediction based on entropy feature",

abstract = "Rate Distortion Optimization (RDO) based spatial intra prediction is an important new feature in H.264/AVC. It encodes each MB with variable block sizes and variable coding modes. Thus, drastically increased computation complexity is involved. This paper proposes an efficient block type decision algorithm. Entropy feature of each MB is extracted before intra coding. Based on this feature, proposed algorithm can decide the best block size for each MB instead of exhaustively examining all block sizes. Sufficient experiment results show that proposed algorithm achieves about 95% decision accuracy with PSNR loss less than 0.004dB; bit-rate increase is negligible and time reduction is 22% to 33%, as target frame sizes changing from QCIF to HDTV (1080p).",

author = "Guifen Tian and Tianruo Zhang and Xianghui Wei and Satoshi Goto",

year = "2008",

doi = "10.1109/APCCAS.2008.4746278",

language = "English",

isbn = "9781424423422",

pages = "1348--1351",

booktitle = "IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS",

note = "APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems ; Conference date: 30-11-2008 Through 03-12-2008",

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T1 - A block type decision algorithm for H.264/AVC intra prediction based on entropy feature

AU - Tian, Guifen

AU - Zhang, Tianruo

AU - Wei, Xianghui

AU - Goto, Satoshi

PY - 2008

Y1 - 2008

N2 - Rate Distortion Optimization (RDO) based spatial intra prediction is an important new feature in H.264/AVC. It encodes each MB with variable block sizes and variable coding modes. Thus, drastically increased computation complexity is involved. This paper proposes an efficient block type decision algorithm. Entropy feature of each MB is extracted before intra coding. Based on this feature, proposed algorithm can decide the best block size for each MB instead of exhaustively examining all block sizes. Sufficient experiment results show that proposed algorithm achieves about 95% decision accuracy with PSNR loss less than 0.004dB; bit-rate increase is negligible and time reduction is 22% to 33%, as target frame sizes changing from QCIF to HDTV (1080p).

AB - Rate Distortion Optimization (RDO) based spatial intra prediction is an important new feature in H.264/AVC. It encodes each MB with variable block sizes and variable coding modes. Thus, drastically increased computation complexity is involved. This paper proposes an efficient block type decision algorithm. Entropy feature of each MB is extracted before intra coding. Based on this feature, proposed algorithm can decide the best block size for each MB instead of exhaustively examining all block sizes. Sufficient experiment results show that proposed algorithm achieves about 95% decision accuracy with PSNR loss less than 0.004dB; bit-rate increase is negligible and time reduction is 22% to 33%, as target frame sizes changing from QCIF to HDTV (1080p).

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DO - 10.1109/APCCAS.2008.4746278

M3 - Conference contribution

AN - SCOPUS:62949199772

SN - 9781424423422

SP - 1348

EP - 1351

BT - IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

T2 - APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems

Y2 - 30 November 2008 through 3 December 2008

ER -

A block type decision algorithm for H.264/AVC intra prediction based on entropy feature

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