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
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;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495378