DocumentCode
895291
Title
A Fast Mode Decision Algorithm and Its VLSI Design for H.264/AVC Intra-Prediction
Author
Wang, Jia-Ching ; Wang, Jhing-Fa ; Yang, Jar-Ferr ; Chen, Jang-Ting
Author_Institution
Nat. Cheng Kung Unvi., Tainan
Volume
17
Issue
10
fYear
2007
Firstpage
1414
Lastpage
1422
Abstract
In this paper, we present a fast mode decision algorithm and design its VLSI architecture for H.264 intra-prediction. A regular spatial domain filtering technique is proposed to compute the dominant edge strength (DES) to reduce the possible predictive modes. Experimental results revealed that the proposed fast intra-algorithm reduces 40% computation with slight peak signal-to-noise ratio (PSNR) degradation. The designed DES VLSI engine comprises a zigzag converter, a DES finite-state machine (FSM), and a DES core. The former two units handle memory allocation and control flow while the last performs pseudoblock computation, edge filtering, and dominant edge strength extraction. With semicustom design fabricated by 0.18 mum CMOS single-poly-six-metal technology, the realized die size is roughly 0.15 times 0.15 mm2 and can be operated at 66 MHz.
Keywords
CMOS digital integrated circuits; feature extraction; filtering theory; video coding; CMOS single-poly-six-metal technology; H.264/AVC intra-prediction; PSNR; VLSI design; dominant edge strength; dominant edge strength extraction; edge filtering; fast mode decision algorithm; finite-state machine; memory allocation; pseudoblock computation; signal-to-noise ratio; size 0.18 mum; spatial domain filtering technique; Algorithm design and analysis; Automatic voltage control; CMOS technology; Computer architecture; Degradation; Filtering; IEC standards; PSNR; Very large scale integration; Video coding; Advanced video coding (AVC); H264; dominant edge extraction; intra-mode decision; intra-prediction;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/TCSVT.2007.903786
Filename
4335637
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