Browse > Article

A Study on the Retrieval Speed Improvement from Content-Based Music Information Retrieval System  

Yoon Won-Jung (Dept. of Computer Science and Statistics, Dankook University)
Park Kyu-Sik (Dept. of Computer Science and Statistics, Dankook University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.43, no.1, 2006 , pp. 85-90 More about this Journal
Abstract
In this paper, we propose the content-based music information retrieval system with improved retrieval speed and stable performance while maintaining resonable retrieval accuracy In order to solve the in-stable system problem multi-feature clustering (MFC) is used to setup robust music DB. In addition, the music retrieval speed was improved by using the Superclass concept. Effectiveness of the system with SuperClass and without SuperClass is compared in terms of retrieval speed, accuracy and retrieval precision. It is demonstrated that the use of WC and Superclass substantially improves music retrieval speed up to $20\%\~40\%$ while maintaining almost equal retrieval accuracy.
Keywords
Music Information Retrieval; Multi-Feature Clustering(MFC); Superclass; Retrieval Speed Improvement;
Citations & Related Records
연도 인용수 순위
  • Reference
1 G. Tzanetakis, 'Manipulation, Analysis and Retrieval Systems for Audio Signals', Ph. D. Thesis in Computer Science from Princeton University, June, 2002
2 G. Guo and S. Z. Li, 'Content-based audio classification and retrieval by support vector machine', IEEE Trans. on neural networks, vol. 14, no. 1, pp. 209-215, Jan., 2003   DOI   ScienceOn
3 T, Li, M. Ogihara and Q. Li, 'A comparative study on content-based music genre classification', in Proc. of the 26th annual internal ACM SIGIR, pp. 282-289, ACM Press, July, 2003   DOI
4 Y. Wang, Z. Liu and J. Huang, 'Multimedia content analysis: using both audio and visual clues', IEEE Signal Proc. Mag., Nov., 2000   DOI   ScienceOn
5 Kyu-Sik Park, Won-Jung Yoon, Kang-Kue Lee, Sang-Heon Oh and Ki-Man Kim, 'MRTB framework: a robust content-based music retrieval and browsing', Consumer Electronics, IEEE Transactions on Volume 51, Issue 1, pp. 117-122, Feb., 2005   DOI   ScienceOn
6 S. R. Subramanya, A. Youssef, B. Narahari, and R. Simha, 'Automated Classification of Audio Data and Retrieval Based on Audio Classes', International Conference on Computers and Their Applications, Cancun, Mexico, April, 1999
7 J. Foote et al, 'An overview of audio information retrieval', ACM-Springer Multimedia Systems, vol. 7, no. 1, pp. 2-11, Jan. 1999   DOI
8 S. Z. Li, 'Content-based classification and retrieval audio using the nearest feature line method', IEEE Trans. on Speech Audio Processing, vol. 8, pp. 619-625, Sept., 2000   DOI   ScienceOn
9 P. G. Guo and S. Z. Li, 'Content-based audio classification and retrieval by support vector machine', IEEE Trans. on neural networks, vol. 14, no. 1, pp. 209-215, Jan., 2003   DOI   ScienceOn
10 J. J. Burred and A. Lerch, 'A hierarchical approach to automatic musical genre classification', in Proc. DAFx03, pp. 308-311, Sept., 2003