Popular music retrieval by detecting mood

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Popular music retrieval by detecting mood

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval table of contents

Toronto, Canada

POSTER SESSION: Posters table of contents

Pages: 375 - 376

Year of Publication: 2003

ISBN:1-58113-646-3

Authors

Yazhong Feng	Zhejiang University, Hangzhou, China
Yueting Zhuang	Zhejiang University, Hangzhou, China
Yunhe Pan	Zhejiang University, Hangzhou, China

Sponsor

ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 12, Downloads (12 Months): 176, Citation Count: 1

Additional Information:

references cited by index terms collaborative colleagues peer to peer

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Chitra Dorai , Svetha Venkatesh, Computational Media Aesthetics: Finding Meaning Beautiful, IEEE MultiMedia, v.8 n.4, p.10-12, October 2001 [doi>10.1109/93.959093 ]
	2	Juslin, P.N., Cue utilization in communication of emotion in music performance: Relating performance to perception. J. Experimental Psychology, 26, 2000, 1797--1813.
	3	Dixon, S. A lightweight multi-agent musical beat tracking system. In proceedings of the Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, 2000, 778--788.

CITED BY

Yi-Hsuan Yang , Ya-Fan Su , Yu-Ching Lin , Homer H. Chen, Music emotion recognition: the role of individuality, Proceedings of the international workshop on Human-centered multimedia, September 28-28, 2007, Augsburg, Bavaria, Germany

INDEX TERMS

Primary Classification:
H. Information Systems
H.3 INFORMATION STORAGE AND RETRIEVAL
H.3.3 Information Search and Retrieval
Subjects: Retrieval models

General Terms:
Algorithms, Design, Experimentation, Performance

Collaborative Colleagues:

Yazhong Feng: colleagues

Yueting Zhuang: colleagues

Yunhe Pan: colleagues

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