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Efficient multi-feature index structures for music data retrieval
Conference paper

Efficient multi-feature index structures for music data retrieval

Wegin Lee and Arbee L.P. Chen
Proceedings of SPIE - The International Society for Optical Engineering, Vol.3972, pp.177-188
2000

Abstract

Electronic Optical and Magnetic Materials Condensed Matter Physics Computer Science Applications Applied Mathematics Electrical and Electronic Engineering
In this paper, we propose four index structures for music data retrieval. Based on suffix trees, we develop two index structures called Combined Suffix Tree and Independent Suffix Trees. These methods still show shortcomings for some search functions. Hence we develop another index, called Twin Suffix Trees, to overcome these problems. However, the Twin Suffix Trees lack of scalability when the amount of music data becomes large. Therefore we propose the fourth index, called Grid-Twin Suffix Trees, to provide scalability and flexibility for a large amount of music data. For each index, we can use different search functions, like exact search and approximate search, on different music features, like melody, rhythm or both. We compare the performance of the different search functions applied on each index structure by a series of experiments.

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