Exploring composite acoustic features for efficient music similarity query

Cui, Bin, Shen, Jialie, Cong, Gao, Shen, Heng Tao and Yu, Cui (2006). Exploring composite acoustic features for efficient music similarity query. In: Proceedings of the 14th Annual ACM International Conference on Multimedia. ACM Multimedia 2006, Santa Barbara, USA, (412-420). 23-27 October, 2006. doi:10.1145/1180639.1180725

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Author Cui, Bin
Shen, Jialie
Cong, Gao
Shen, Heng Tao
Yu, Cui
Title of paper Exploring composite acoustic features for efficient music similarity query
Conference name ACM Multimedia 2006
Conference location Santa Barbara, USA
Conference dates 23-27 October, 2006
Proceedings title Proceedings of the 14th Annual ACM International Conference on Multimedia
Place of Publication New York, NY, United States
Publisher Association for Computing Machinery
Publication Year 2006
Sub-type Fully published paper
DOI 10.1145/1180639.1180725
ISBN 1595934472
Start page 412
End page 420
Total pages 9
Collection year 2006
Abstract/Summary Music similarity query based on acoustic content is becoming important with the ever-increasing growth of the music information from emerging applications such as digital libraries and WWW. However, relative techniques are still in their infancy and much less than satisfactory. In this paper, we present a novel index structure, called Composite Feature tree, CF-tree, to facilitate efficient content-based music search adopting multiple musical features. Before constructing the tree structure, we use PCA to transform the extracted features into a new space sorted by the importance of acoustic features. The CF-tree is a balanced multi-way tree structure where each level represents the data space at different dimensionalities. The PCA transformed data and reduced dimensions in the upper levels can alleviate suffering from dimensionality curse. To accurately mimic human perception, an extension, named CF+-tree, is proposed, which further applies multivariable regression to determine the weight of each individual feature. We conduct extensive experiments to evaluate the proposed structures against state-of-art techniques. The experimental results demonstrate superiority of our technique.
Subjects E1
280103 Information Storage, Retrieval and Management
700103 Information processing services
Keyword Music
KNN
Similarity query
CF-tree
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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Created: Thu, 23 Aug 2007, 22:23:23 EST