Wavelet filters in multi-resolution motion estimation

被引：0
|
作者：
Zan, JW [1 ]
Swamy, MNS [1 ]
Ahmad, MO [1 ]
机构：
[1] Concordia Univ, Dept Elect & Comp Engn, Ctr Commun & Signal Proc, Montreal, PQ H3G 1M8, Canada
来源：
CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING 2001, VOLS I AND II, CONFERENCE PROCEEDINGS | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the performance of various wavelets, including those known to be well suited for the coding, of still ima., ges, are evaluated for the multi-resolution motion estimation of video sequences. The multi-resolution motion estimation scheme proposed by Zhang and Zafar, which has been widely cited in the literature, is used as the simulation scheme in this study. The prediction mean square error (PMSE) in the wavelet transform coefficient domain is used in our study as the measure for prediction performance. In order to show the overall rate distortion performance, the number of bits needed to encode the motion vectors is also calculated. Simulation results show that the 7/9 biorthogonal wavelet, one of the best wavelets for the coding of still images, is the best wavelet for the task of multi-resolution motion estimation among the wavelets evaluated in this study.
引用
收藏
页码：1321 / 1326
页数：6
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