DocumentCode :
3148419
Title :
A novel fast two step sub-pixel motion estimation algorithm in HEVC
Author :
Dai, Wei ; Au, Oscar C. ; Pang, Chao ; Sun, Lin ; Zou, Ruobing ; Li, Sijin
Author_Institution :
Dept. of Electron. & Comput. Eng., HKUST, Kowloon, China
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
1197
Lastpage :
1200
Abstract :
Motion estimation (ME) is one of the most time consuming parts in video coding standard. As fast integer-pixel ME algorithm becoming more and more powerful, it is important to develop fast sub-pixel ME algorithm since the computational complexity of sub-pixel ME compared to integer-pixel ME has become relatively significant. In this paper, a novel fast sub-pixel ME algorithm is proposed. This algorithm first approximates the error surface of the sub-pixel position by a second order function and predicts the minimum point by minimizing the function at half-pixel accuracy. Then another second order approximation within a smaller area which is determined by the previous step is modeled to predict the best sub-pixel position. Experimental results show that the proposed method can reduce the sub-pixel search points significantly with negligible quality degradation.
Keywords :
approximation theory; computational complexity; motion estimation; prediction theory; video coding; HEVC; best subpixel position prediction; computational complexity; error surface approximation; integer-pixel ME algorithm; quality degradation; second order approximation; second order function; subpixel motion estimation algorithm; subpixel search point reduction; video coding standard; Accuracy; Approximation algorithms; Encoding; Motion estimation; Prediction algorithms; Surface treatment; Vectors; block-based motion estimation; fast motion estimation; sub-pixel accuracy; video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288102
Filename :
6288102
Link To Document :
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