MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
Multimedia Tools and Applications
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In this demo we present a prototype system that allows the user to query an image database and progressively refine the system's response to his query by indicating the relevance, or non-relevance of the retrieved items. Tests performed on different databases have shown that the system is, even in its present proto stage, already very versatile.