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Using global colour features for general photographic image indexing and retrieval
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Melbourne, Australia
Pages: 349 - 350  
Year of Publication: 1998
ISBN:1-58113-015-5
Authors
Ting-Sheng Lai  School of Computing and Information Systems, The University of Sunderland
John Tait  School of Computing and Information Systems, The University of Sunderland
Sponsors
University of Melbourne : University of Melbourne
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 22,   Citation Count: 1
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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
Baxter, G., Anderson, D. Image Indexing and Retrieval: Some Problems and Proposed Solutions. New Library World. Vol 96, No 1123, 1995, 4-13.
 
2
De Marsicoi, M., Cinque, L., Levialdi, S. Indexing Pictorial Documents by Their Content: A Survey of Current Techniques. Image and Vision Computing. Vol 15, No 2, 1997, 119-141.
 
3
Gong, Y., Chua, H., Guo, X. linage Indexing and Retrieval Based on Color Histograms. Multimedia Tools and Applications. Voi 2, 1996, 133-156.
 
4
Hirsch, R. Exploring Color Photography. Second Edition. WCB Communications, Inc., USA, 1993.
 
5
Holt, B., Weiss, K., Niblack, W., et al. The QBIC Project in the Department of Art and Art History at UC Davis. Proceedings of the ASIS Annual Meeting (Washington, DC, Nov. i-6, 1997). Vol 34, 1997, 189-195.


Collaborative Colleagues:
Ting-Sheng Lai: colleagues
John Tait: colleagues