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Dynamic classification explorer for music digital libraries
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Source
International Conference on Digital Libraries archive
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries table of contents
Pittsburgh PA, PA, USA
DEMONSTRATION SESSION: Demonstrations table of contents
Pages 422-422  
Year of Publication: 2008
ISBN:978-1-59593-998-2
Authors
J. Stephen Downie  University of Illinois at Urbana-Champaign, Champaign, IL, USA
Kris West  University of East Anglia, Norwich, United Kingdom
Xiao Hu  University of Illinois at Urbana-Champaign, Champaign, IL, USA
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 60,   Citation Count: 0
Additional Information:

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ABSTRACT

This paper outlines a dynamic classification explorer for music digital library users and researchers. System provides multiple simultaneous classification visualizations and synchronized audio.


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
J. Stephen Downie , Andreas F. Ehmann , David Tcheng, Real-time genre classification for music digital libraries, Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries, June 07-11, 2005, Denver, CO, USA  [doi>10.1145/1065385.1065480]
 
2
NEMA Website. Available: http://nema.lis.uiuc.edu.
 
3
SEASR Website. Available: http://www.seasr.org.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.7 Digital Libraries
          Subjects: Systems issues


General Terms:
Design, Performance


Keywords:
music digital libraries, music information retrieval

Collaborative Colleagues:
J. Stephen Downie: colleagues
Kris West: colleagues
Xiao Hu: colleagues

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