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
Link To Document :
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