Title
Fast block matching algorithm based on the winner-update strategy
Abstract
Block matching is a widely used method for stereo vision, visual tracking, and video compression. Many fast algorithms for block matching have been proposed in the past, but most of them do not guarantee that the match found is the globally optimal match in a search range. This paper presents a new fast algorithm based on the winner-update strategy which utilizes an ascending lower bound list of the matching error to determine the temporary winner. Two lower bound lists derived by using partial distance and by using Minkowski's inequality are described. The basic idea of the winner-update strategy is to avoid, at each search position, the costly computation of the matching error when there exists a lower bound larger than the global minimum matching error. The proposed algorithm can significantly speed up the computation of the block matching because (1) computational cost of the lower bound we use is less than that of the matching error itself; (2) an element in the ascending lower bound list will be calculated only when its preceding element has already been smaller than the minimum matching error computed so far; (3) for many search positions, only the first several lower bounds in the list need to be calculated. Our experiments have shown that, when applying to motion vector estimation for several widely-used test videos, 92% to 98% of operations can be saved while still guaranteeing the global optimality. Moreover, the proposed algorithm can be easily modified either to meet the limited time requirement or to provide an ordered list of best candidate matches
Year
DOI
Venue
2001
10.1109/83.935037
IEEE Transactions on Image Processing
Keywords
DocType
Volume
object recognition,html,optimal matching,game theory,indexing terms,motion estimation,stereo vision,lower bound,testing,video compression,information science,global optimization,pixel,visual tracking,block matching algorithm,computer science,source code,data compression
Journal
10
Issue
ISSN
Citations 
8
1057-7149
76
PageRank 
References 
Authors
3.77
12
3
Name
Order
Citations
PageRank
Yong-Sheng Chen131430.12
Yi-Ping Hung21743168.25
Chiou-Shann Fuh364756.08