Abstract

In this article, we present a novel indexing technique called EMIF (Effective Music Indexing Framework) to facilitate scalable and accurate content based music retrieval. It is designed based on a classification-and-indexing principle and consists of two main functionality layers: 1) a novel semantic-sensitive classification to identify input music's category and 2) multiple indexing structures - one local indexing structure corresponds to one semantic category. EMIF's layered architecture not only enables superior search accuracy but also reduces query response time significantly. To evaluate the system, a set of comprehensive experimental studies have been carried out using large test collection and EMIF demonstrates promising performance over state-of-the-art approaches.

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