A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine

Amsterdam, Netherlands July 06-July 06

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http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521628

2005 IEEE International Conference on ...

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	Similar Articles Articles by null Chengcui Zhang Articles by null Xin Chen Articles by null Min Chen Articles by null Shu-Ching Chen Articles by null Mei-Ling Shyu

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	null Chengcui Zhang, null Xin Chen, null Min Chen, null Shu-Ching Chen, null Mei-Ling Shyu, "A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine," Multimedia and Expo, IEEE International Conference on, pp. 1142-1145, 2005 IEEE International Conference on Multimedia and Expo, 2005.

	BibTex	x
	@article{ 10.1109/ICME.2005.1521628, author = {null Chengcui Zhang and null Xin Chen and null Min Chen and null Shu-Ching Chen and null Mei-Ling Shyu}, title = {A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine}, journal ={Multimedia and Expo, IEEE International Conference on}, volume = {0}, year = {2005}, isbn = {0-7803-9331-7}, pages = {1142-1145}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521628}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Multimedia and Expo, IEEE International Conference on TI - A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine SN - 0-7803-9331-7 SP1142 EP1145 A1 - null Chengcui Zhang, A1 - null Xin Chen, A1 - null Min Chen, A1 - null Shu-Ching Chen, A1 - null Mei-Ling Shyu, PY - 2005 KW - null VL - 0 JA - Multimedia and Expo, IEEE International Conference on ER -

null Chengcui Zhang, Department of Computer and Information Sciences, University of Alabama at Birmingham

Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on One-Class Support Vector Machine (SVM) to solve MIL problem in the region-based Content Based Image Retrieval (CBIR). Relevance Feedback technique is incorporated to provide progressive guidance to the learning process. Performance is evaluated and the effectiveness of our retrieval algorithm has been shown through comparative studies.

Citation:

null Chengcui Zhang, null Xin Chen, null Min Chen, null Shu-Ching Chen, null Mei-Ling Shyu, "A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine," icme, pp.1142-1145, 2005 IEEE International Conference on Multimedia and Expo, 2005

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