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An application of multiple viewpoints to content-based image retrieval

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3 Author(s)
French, J.C. ; Dept. of Comput. Sci., Virginia Univ., Charlottesville, VA, USA ; Chapin, A.C. ; Martin, Worthy N.

Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the results presented to a user without changing the underlying feature extraction or search technologies. We present an example of this "multiple viewpoint" approach, multiple image channels, and discuss its advantages for an image-seeking user. This approach has also been shown to dramatically improve retrieval effectiveness in content-based image retrieval systems [J.C. French et al., (2003)].

Published in:

Digital Libraries, 2003. Proceedings. 2003 Joint Conference on

Date of Conference:

27-31 May 2003