Abstract
AbstractNowadays, multimedia data, especially image, are of increasing number. Content-based image retrieval system is becoming an important tool to assist user in managing his/her collection of images. This work presents a development of an image search system for a particular image database containing various types of images. We present a study of visual descriptors for this database and a simple strategy to speed-up the retrieval process. We also present a relevance feedback technique based on semi-supervised learning technique. Experimental result of the proposed system seems promising.KeywordsImage retrievalvisual descriptorrelevance feedback
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