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Exploiting image semantics for picture libraries
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Source International Conference on Digital Libraries archive
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries table of contents
Roanoke, Virginia, United States
Page: 469  
Year of Publication: 2001
ISBN:1-58113-345-6
Authors
Kobus Barnard  Computer Science Division, University of California, Berkeley
David Forsyth  Computer Science Division, University of Cslifornia, Berkeley
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 17,   Citation Count: 2
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ABSTRACT

We consider the application of a system for learning the semantics of image collections to digital libraries. We discuss our approach to browsing and search, and investigate the integration both in more detail.


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
K. Barnard and D. Forsyth, "Learning the Semantics of Words and Pictures," Proc. International Conference on Computer Vision, 2001, (in press).
 
2
T. Hofmann, "Learning and representing topic. A hierarchical mixture model for word occurrence in document databases," Proc. Workshop on learning from text and the web, CMU, 1998.
3
 
4
F. Chen, U. Gargi, L. Niles, and H. Schutze, "Multimodal browsing of images in web documents," Proc. SPIE Document Recognition and Retrieval, 1999.


Collaborative Colleagues:
Kobus Barnard: colleagues
David Forsyth: colleagues

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