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Low complexity weighted two-bit transforms based multiple candidates motion estimation exploiting the redundant computations

Authors
Choi, ChangryoulJeong, Jechang
Issue Date
Sep-2010
Publisher
IEEE
Keywords
Block matching; Full-search; Motion estimation; Two-bit transform
Citation
Proceedings - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010, pp.101 - 104
Indexed
SCOPUS
Journal Title
Proceedings - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010
Start Page
101
End Page
104
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/174118
DOI
10.1109/CGIV.2010.23
ISSN
0000-0000
Abstract
A low complexity weighted two-bit transforms (2BT) based multiple candidates motion estimation algorithm is proposed in this paper. By exploiting almost the identical operations in two different matching error criteria, we can efficiently determine two best motion vectors according to the respective matching criteria and can enhance the overall motion estimation accuracy. Experimental results show that the proposed algorithm achieves peak-to-peak signal-to-noise ratio (PSNR) gains about 0.47dB on average compared with the conventional 2BT-based motion estimation.
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