Title :
Low Complexity Weighted Two-Bit Transforms Based Multiple Candidates Motion Estimation Exploiting the Redundant Computations
Author :
Choi, Changryoul ; Jeong, Jechang
Author_Institution :
Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea
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.
Keywords :
image matching; motion estimation; signal processing; transforms; vectors; PSNR gains; low complexity weighted two-bit transforms; matching criteria; matching error criteria; motion estimation accuracy; motion vectors; multiple candidates motion estimation algorithm; peak-to-peak signal-to-noise ratio gains; redundant computations; Accuracy; Algorithm design and analysis; Artificial neural networks; Complexity theory; Motion estimation; PSNR; Transforms; block matching; full-search; motion estimation; two-bit transform;
Conference_Titel :
Computer Graphics, Imaging and Visualization (CGIV), 2010 Seventh International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-7840-8
DOI :
10.1109/CGIV.2010.23
