Digital Libraries, Joint Conference on (2003)
Houston, Texas USA
May 27, 2003 to May 31, 2003
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 .
W. N. Martin, J. C. French and A. C. Chapin, "An Application of Multiple Viewpoints to Content-Based Image Retrieval," Digital Libraries, Joint Conference on(JCDL), Houston, Texas USA, 2003, pp. 128.