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2005
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Region-Based Image Clustering and Retrieval Using Multiple Instance Learning

9 years 3 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. 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). This is an area where a huge number of image regions are involved. For the sake of efficiency, we adopt a Genetic Algorithm based clustering method to reduce the search space. Relevance Feedback technique is incorporated to provide progressive guidance to the learning process. Performance is evaluated and the effectiveness of our retrieval algorithm is demonstrated in comparative studies.
Chengcui Zhang, Xin Chen
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where CIVR
Authors Chengcui Zhang, Xin Chen
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