DocumentCode :
1749892
Title :
Median filtering-based pyramidal motion vector estimation
Author :
Zan, Jinwen ; Ahmad, M. Omair ; Swamy, M.N.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
1605
Abstract :
A median filtering-based hierarchical motion vector estimation scheme making use of a pyramidal data structure is proposed. Compared to the conventional hierarchical motion vector estimation schemes, the proposed scheme overcomes the problem of propagation of false motion vectors across resolutions. Simulation studies show that the proposed scheme not only improves the prediction accuracy with respect to the prediction mean square error, but also results in a smoother motion field, which can be encoded with less number of coding bits. It is shown that an improvement in the rate distortion performance is achieved with little increase in the computational complexity. It is also shown that Burt and Adelson´s (1983) pyramidal data structure provides the best performance among a number of the generating kernels considered in our study
Keywords :
computational complexity; data compression; data structures; median filters; motion estimation; rate distortion theory; video coding; computational complexity; generating kernels; hierarchical motion vector estimation; median filtering; prediction accuracy; prediction mean square error; pyramidal data structure; rate distortion performance; video compression; Computational complexity; Data structures; Filtering; Image resolution; Kernel; Mean square error methods; Motion estimation; Predictive models; Rate-distortion; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.941242
Filename :
941242
Link To Document :
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