DocumentCode
2258538
Title
Hardware efficient coarse-to-fine fast algorithm for H.264/AVC variable block size motion estimation
Author
Chen, Lien-Fei ; Huang, Shien-Yu ; Liao, Chi-Yao ; Lai, Yeong-Kang
Author_Institution
Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan
fYear
2009
fDate
24-27 May 2009
Firstpage
1657
Lastpage
1660
Abstract
In this paper, a hardware efficient coarse-to-fine fast algorithm for H.264 motion estimation is proposed. We present hardware friendly two-step searching flow to obtain the 41 MVs of the variable block size motion estimation (VBSME) efficiently. At the first step, the candidate block down-sampling technique and the multi-level successive elimination algorithm (MSEA) with fixed 16 times 16 block-matching are adopted to rapidly find the possible regions. Then, the local full search method with VBSME is utilized at these possible regions to parallel calculate the minimum SAD of the 41 MVs. According to the analysis, proposed fast algorithm not only has 5% computational complexity compared with the full search block-matching algorithm (FSBMA), but also preserves fine RD performance. In the light of our hardware evaluation, the proposed fast algorithm can easily achieve the real-time HDTV video coding requirement with the 64 processing elements (PEs) architecture.
Keywords
image matching; image sampling; motion estimation; video coding; H.264-AVC; HDTV video coding requirement; block down-sampling technique; computational complexity; full search block matching algorithm; hardware efficient coarse-to-fine fast algorithm; multilevel successive elimination algorithm; processing element architecture; variable block size motion estimation; Algorithm design and analysis; Automatic voltage control; Computational complexity; Computer architecture; HDTV; Hardware; Motion estimation; Performance analysis; Search methods; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location
Taipei
Print_ISBN
978-1-4244-3827-3
Electronic_ISBN
978-1-4244-3828-0
Type
conf
DOI
10.1109/ISCAS.2009.5118091
Filename
5118091
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