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A novel relevance feedback technique in image retrieval
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Source International Multimedia Conference archive
Proceedings of the seventh ACM international conference on Multimedia (Part 2) table of contents
Orlando, Florida, United States
Pages: 67 - 70  
Year of Publication: 1999
ISBN:1-58113-239-5
Authors
Yong Rui  University of Illinois, Urbana-Champaign, Urbana, IL
Thomas S. Huang  University of Illinois, Urbana-Champaign, Urbana, IL
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 15,   Downloads (12 Months): 58,   Citation Count: 14
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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
J. P. Callan, W. B. Croft, and S. M. Harding, "The inquery retrieval systemf in Proc. of 3rd int Conf on Database and Ezpert $~stem Application, Sept 1992.
 
2
Y. Rui, T. S. Huang, and S. Mehrotra, "Content-based image retrieval with relevance feedback in MAP, S," in Proc. IEEE Int. Conf. on Image Proc., 1997.
 
3
 
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5
S. X. Zhou, Y. Rui, and T. S. Huang, "Water-falling algorithm: A novel way for image feature extraction based on edge maps," in Proc. IEEEInt. Conf. on Image Proc., 1999.

CITED BY  15

Collaborative Colleagues:
Yong Rui: colleagues
Thomas S. Huang: colleagues