DocumentCode :
3478837
Title :
Complexity regularized pattern matching
Author :
Zujovic, Jana ; Guleryuz, Onur G.
Author_Institution :
EECS, Northwestern Univ., Sheridan, IL, USA
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1889
Lastpage :
1892
Abstract :
We propose a technique that finds optimized descriptors for pattern matching applications. We formulate the pattern matching problem as the search of a pattern library for vectors defined in a query manifold. Our approach trades off the computational complexity involved in the search with matching accuracy by representing the query manifold with its complexity-dependent approximations. This is done in an optimal way so that a user with a given complexity budget accomplishes the optimal matching performance for that budget. Our work can be seen as defining a covering around the query manifold with the aid of the derived descriptors. The higher the allowed computational complexity, the tighter the covering, and the more accurate the match. Our formulation results in sparse descriptors which naturally emerge as the optimal solutions. The proposed descriptors are adaptively optimized for the particular search problem so that application-specific simplifications are taken full advantage of. Thanks to our algebraic approach, the presented formulation is general and can readily be applied to many different types of signals in addition to images and video.
Keywords :
computational complexity; image matching; search problems; video signal processing; complexity regularized pattern matching; complexity-dependent approximations; computational complexity; pattern library; pattern matching applications; query manifold; search problem; Acoustic distortion; Computational complexity; Humans; Image databases; Libraries; Optimal matching; Pattern matching; Principal component analysis; Robustness; Search problems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413647
Filename :
5413647
Link To Document :
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