Image Retrieval By Shape: A Comparative Study

Image Retrieval By Shape: A Comparative Study (1999)

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by Maytham Safar , Cyrus Shahabi , Xiaoming Sun

Venue:	In Proceedings of IEEE International Conference on Multimedia and Exposition ICME
Citations:	26 - 1 self

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Datum	Value	Source
TITLE	Image Retrieval By Shape: A Comparative Study	INFERENCE
AUTHOR NAME	Maytham Safar	SVM HeaderParse 0.1
AUTHOR AFFIL	Integrated Media Systems Center; Department of Computer Science; University of Southern California	SVM HeaderParse 0.2
AUTHOR ADDR	Los Angeles, California 90089--0781	SVM HeaderParse 0.1
AUTHOR NAME	Cyrus Shahabi	SVM HeaderParse 0.1
AUTHOR AFFIL	Integrated Media Systems Center; Department of Computer Science; University of Southern California	SVM HeaderParse 0.2
AUTHOR ADDR	Los Angeles, California 90089--0781	SVM HeaderParse 0.1
AUTHOR NAME	Xiaoming Sun	SVM HeaderParse 0.1
AUTHOR AFFIL	Integrated Media Systems Center; Department of Computer Science; University of Southern California	SVM HeaderParse 0.2
AUTHOR ADDR	Los Angeles, California 90089--0781	SVM HeaderParse 0.1
ABSTRACT	Besides traditional applications (e.g., CAD/CAM and Trademark registry), new multimedia applications such as structured video, animation, and MPEG-7 standard require the storage and management of well-defined objects. This study compared four shape-based object retrieval techniques (FD, GB, DT , and TPV AS). The similarity retrieval accuracy of our method (TV PAS) was comparable to the other methods, while it had the lowest computation cost to generate the shape signatures of the objects. Moreover, it has low storage requirement, and a comparable computation cost to compute the similarity between two shape signatures. In addition, TPV AS requires no normalization of the objects, and is the only method that has direct support to RST query types. We also introduced a new shape description taxonomy. 1 Introduction Many applications in the areas of CAD/CAM and computer graphics require to store and access large databases [32, 31]. These object databases are then queried and search...	user correction - Legacy Corrections
YEAR	1999	user correction - Legacy Corrections
VENUE	In Proceedings of IEEE International Conference on Multimedia and Exposition ICME	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	141--144	INFERENCE
CITATIONS	33 found	ParsCit 1.0