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