Data mining methods for knowledge discovery
Data mining methods for knowledge discovery
Histogram refinement for content-based image retrieval
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Spatial Color Indexing and Applications
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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Different from the traditional image retrieval systems, our retrieval framework bases on feature elements but not feature vectors. The retrieval task is to judge whether the image holds the feature elements of the demand set. As the opposite interactive tool to the relevance feedback for the current feature vector based retrieval, this paper proposes a new approach: association feedback. It analyzes synthetically the feedback data, retrieval history and existing result to find out the associated elements that potentially hit the retrieval target. And it can easily implement interest switch, by using associated part as the bridge. Experimental result shows inspiring future for the new approach.