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Houston, Texas USA
May 27, 2003 to May 31, 2003
ISBN: 0-7695-1939-3
pp: 128
James C. French , University of Virginia
A. C. Chapin , University of Virginia
Worthy N. Martin , University of Virginia
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 [3].
James C. French, A. C. Chapin, Worthy N. Martin, "An Application of Multiple Viewpoints to Content-Based Image Retrieval", JCDL, 2003, Digital Libraries, Joint Conference on, Digital Libraries, Joint Conference on 2003, pp. 128, doi:10.1109/JCDL.2003.1204853
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