Fully utilized and low design effort architecture for H.264/AVC intra predictor generation

Yiqing Huang; Qin Liu; Takeshi Ikenaga

doi:10.1007/978-3-642-11301-7_78

Fully utilized and low design effort architecture for H.264/AVC intra predictor generation

Yiqing Huang^*, Qin Liu, Takeshi Ikenaga

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Fully exploiting the spatial feature of image makes H.264/ AVC standard superior in intra prediction part. However, when hardware is considered, full support of all intra modes will cause high design effort, especially for large image size. In this paper, we propose a low design effort solution for intra predictor generation, which is the most significant part in intra engine. Firstly, one parallel processing flow is given out, which achieves 37.5% reduction of processing time. Secondly, a fully utilized predictor generation architecture is given out, which saves 77.5% cycles of original one. With 30.11k gates at 200MHz, our design can support full-mode intra prediction for real-time processing of 4k×2k@60fps.

Original language	English
Title of host publication	Advances in Multimedia Modeling - 16th International Multimedia Modeling Conference, MMM 2010, Proceedings
Pages	737-742
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-11301-7_78
Publication status	Published - 2009 Dec 1
Event	16th International Multimedia Modeling Conference on Advances in Multimedia Modeling, MMM 2010 - Chongqing, China Duration: 2010 Oct 6 → 2010 Oct 8

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5916 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Multimedia Modeling Conference on Advances in Multimedia Modeling, MMM 2010
Country/Territory	China
City	Chongqing
Period	10/10/6 → 10/10/8

Keywords

H.264/AVC
Hardware Architecture
Intra Prediction

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-11301-7_78

Cite this

Huang, Y., Liu, Q., & Ikenaga, T. (2009). Fully utilized and low design effort architecture for H.264/AVC intra predictor generation. In Advances in Multimedia Modeling - 16th International Multimedia Modeling Conference, MMM 2010, Proceedings (pp. 737-742). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5916 LNCS). https://doi.org/10.1007/978-3-642-11301-7_78

Fully utilized and low design effort architecture for H.264/AVC intra predictor generation. / Huang, Yiqing; Liu, Qin; Ikenaga, Takeshi.

Advances in Multimedia Modeling - 16th International Multimedia Modeling Conference, MMM 2010, Proceedings. 2009. p. 737-742 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5916 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Huang, Y, Liu, Q & Ikenaga, T 2009, Fully utilized and low design effort architecture for H.264/AVC intra predictor generation. in Advances in Multimedia Modeling - 16th International Multimedia Modeling Conference, MMM 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5916 LNCS, pp. 737-742, 16th International Multimedia Modeling Conference on Advances in Multimedia Modeling, MMM 2010, Chongqing, China, 10/10/6. https://doi.org/10.1007/978-3-642-11301-7_78

Huang Y, Liu Q, Ikenaga T. Fully utilized and low design effort architecture for H.264/AVC intra predictor generation. In Advances in Multimedia Modeling - 16th International Multimedia Modeling Conference, MMM 2010, Proceedings. 2009. p. 737-742. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-11301-7_78

Huang, Yiqing ; Liu, Qin ; Ikenaga, Takeshi. / Fully utilized and low design effort architecture for H.264/AVC intra predictor generation. Advances in Multimedia Modeling - 16th International Multimedia Modeling Conference, MMM 2010, Proceedings. 2009. pp. 737-742 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Fully utilized and low design effort architecture for H.264/AVC intra predictor generation

Abstract

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Keywords

ASJC Scopus subject areas

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