DocumentCode :
2796025
Title :
A Motion Estimation algorithm based on Markov Chain Model
Author :
Zhao, Zhijie ; Cao, Zhimin ; Lin, Maoliu ; Jin, Xuesong
Author_Institution :
Harbin Univ. of Commerce, Harbin, China
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
1174
Lastpage :
1177
Abstract :
In this paper, we present a new fast Motion Estimation (ME) algorithm based on Markov Chain Model (MEMCM). Spatial-temporal correlation of video sequence and Markov Chain Model are used in the algorithm, which considers the continuity of video. Experimental simulation shows that the proposed algorithm has better performance in both speed-up and PSNR than PMVFAST.
Keywords :
Markov processes; motion estimation; spatiotemporal phenomena; Markov chain model; PMVFAST; PSNR; motion estimation algorithm; motion vector field; spatial-temporal correlation; video sequence; Business; Computational complexity; Image reconstruction; Motion estimation; PSNR; Prediction algorithms; Predictive models; Testing; Video sequences; Motion Estimation; PMVFAST; Spatial-temporal Correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495378
Filename :
5495378
Link To Document :
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