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Dynamic multimedia exploration using SIFT matching

In this demo paper, we focus on the dynamic multimedia exploration techniques which are an intuitive, effective and entertaining way to present a pre-selected subset of a multimedia database to the users. More specifically, we present an exploration schema employing a similarity model based on SIFT descriptors that can be used to explore image database according to regions in the images. We also provide a simple mechanism to reduce the number of nonrelevant SIFT descriptors in the query image. The reduction of SIFTs in the query image improves the speed and fluency of the exploration process as demonstrated in our demo application.