An application of multiple viewpoints to content-based image retrieval
James C. French, A. C. Chapin, Worthy N. Martin · ACM/IEEE Joint Conference on Digital Libraries · 2003
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 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)].