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On-demand metadata extraction network (OMEN)
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Source International Conference on Digital Libraries archive
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries table of contents
Chapel Hill, NC, USA
POSTER SESSION: Posters table of contents
Pages: 346 - 346  
Year of Publication: 2006
ISBN:1-59593-354-9
Authors
Ichiro Fuinaga  McGill University, Montreal, QC, Canada
Daniel McEnnis  McGill University, Montreal, QC, Canada
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
Publisher
ACM  New York, NY, USA
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ABSTRACT

A new method for federated searching of music archives using a grid-based dynamic feature extraction system is proposed.


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
Berthold, H. A Federated Multimedia Database System. PhD thesis, Fakultät Informatik, 2002.
 
2
Bretschneider, T., and Kao, O. A retrieval system for remotely sensed imagery. Imaging Science, Systems, and Technologies, 2 (2002), 439--445.
 
3
Davison, S., Requardt, C., and Brancolini, K. The sheet music consortium: A specialized open archives initiative harvester project. International Conference on Music Information Retrieval, (2003).
 
4
Quackenbush, S., and Lindsay, A. Overview of MPEG-7 audio. IEEE Transactions on Circuits and Systems for Video Technology, 11, 6 (2001), 725--729

Collaborative Colleagues:
Ichiro Fuinaga: colleagues
Daniel McEnnis: colleagues