An Application of Multiple Viewpoints to Content-Based Image Retrieval

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].

• Type: Conference
• Year: 2003
• Where: JCDL
• Authors: James C. French, A. C. Chapin, Worthy N. Martin
• Keywords: Content-based Image Retrieval, JCDL 2003, Multiple Image Channels, Retrieval Uses Features