Digital Libraries, Joint Conference on (2003)
Houston, Texas USA
May 27, 2003 to May 31, 2003
Worthy N. Martin , University of Virginia
James C. French , University of Virginia
A. C. Chapin , 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 .
Worthy N. Martin, James C. French, A. C. Chapin, "An Application of Multiple Viewpoints to Content-Based Image Retrieval", Digital Libraries, Joint Conference on, vol. 00, no. , pp. 128, 2003, doi:10.1109/JCDL.2003.1204853