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Lecture Notes in Computer Science
In this paper, we present a novel indexing technique called Multiscale Similarity Indexing (MSI) to index image's multi-features into a single one-dimensional structure. Both for text and visual feature spaces, the similarity between a point and a local partition's center in individual space is used as the indexing key, where similarity values in different features are distinguished by different scale. Then a single indexing tree can be built on these keys. Based on the property that relevantdoi:10.1007/978-3-540-31849-1_85 fatcat:in2bkrfv4be6jlognxtmzzkdnu