BOOSTING FOR CONTENT-BASED AUDIO CLASSIFICATION AND RETRIEVAL: AN EVALUATION

I
ICME
2001
2001 IEEE International Conference on Multimedia and Expo (ICME'01)
Abstract - BOOSTING FOR CONTENT-BASED AUDIO CLASSIFICATION AND RETRIEVAL: AN EVALUATION

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	Similar Articles Articles by Guodong Guo Articles by Hong-Jiang Zhang Articles by Stan Z. Li

2001 IEEE International Conference on Multimedia and Expo (ICME'01)

Tokyo, Japan

August 22-August 25

ISBN: 0-7695-1198-8

	ASCII Text	x
	Guodong Guo, Hong-Jiang Zhang, Stan Z. Li, "BOOSTING FOR CONTENT-BASED AUDIO CLASSIFICATION AND RETRIEVAL: AN EVALUATION," Multimedia and Expo, IEEE International Conference on, pp. 253, 2001 IEEE International Conference on Multimedia and Expo (ICME'01), 2001.

	BibTex	x
	@article{ 10.1109/ICME.2001.1237892, author = {Guodong Guo and Hong-Jiang Zhang and Stan Z. Li}, title = {BOOSTING FOR CONTENT-BASED AUDIO CLASSIFICATION AND RETRIEVAL: AN EVALUATION}, journal ={Multimedia and Expo, IEEE International Conference on}, volume = {0}, year = {2001}, isbn = {0-7695-1198-8}, pages = {253}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2001.1237892}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Multimedia and Expo, IEEE International Conference on TI - BOOSTING FOR CONTENT-BASED AUDIO CLASSIFICATION AND RETRIEVAL: AN EVALUATION SN - 0-7695-1198-8 SP EP A1 - Guodong Guo, A1 - Hong-Jiang Zhang, A1 - Stan Z. Li, PY - 2001 KW - null VL - 0 JA - Multimedia and Expo, IEEE International Conference on ER -

Guodong Guo, Microsoft Research China 5F, Beijing Sigma Center, No. 49, Zhichun Road

Hong-Jiang Zhang, Microsoft Research China 5F, Beijing Sigma Center, No. 49, Zhichun Road

Stan Z. Li, Microsoft Research China 5F, Beijing Sigma Center, No. 49, Zhichun Road

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2001.1237892

In this paper, we evaluate a recently proposed algorithm in machine learning called AdaBoost for content-based audio classification and retrieval. AdaBoost is a kind of large margin classifiers and is efficient for on-line learning. Our focus is to evaluate its classification and retrieval accuracy as compared with other methods. The Muscle Fish audio database of 409 sounds is used for the evaluation with perceptual and cepstral features.

Citation:

Guodong Guo, Hong-Jiang Zhang, Stan Z. Li, "BOOSTING FOR CONTENT-BASED AUDIO CLASSIFICATION AND RETRIEVAL: AN EVALUATION," icme, pp.253, 2001 IEEE International Conference on Multimedia and Expo (ICME'01), 2001

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