Features in Content-Based Image Retrieval Systems: A Survey-Reference-Cited by-同舟云学术

Features in Content-Based Image Retrieval Systems: A Survey

Published:2001 Issue: Volume: Page:97-124
ISSN:1381-6446
Container-title:Computational Imaging and Vision
language:
Short-container-title:

Author:

Veltkamp Remco C.,Tanase Mirela,Sent Danielle

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-94-015-9664-0_5

Reference26 articles.

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2. Chad Carson, Megan Thomas, Serge Belongie, Joseph M. Hellerstein, and Jitendra Malik. Blobworld: A system for region-based image indexing and retrieval. In Huijsmans and Smeulders [8].

3. John P. Eakins and Margaret E. Graham. Content-based image retrieval, a report to the JISC technology application programme. Technical report, Institute for Image Data Research, University of Northumbria at Newcastle, UK, January 1999. http://www.unn.ac.uk/iidr/report.html .

4. David A. Forsyth and Margaret M. Fleck. Body plans. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 678–683, 1997.

5. Theo Gevers and Arnold Smeulders. Pictoseek: Combining color and shape invariant features for image retrieval. IEEE Transactions on Image Processing, 9 (1): 102–119, January 2000.

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