Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10325262 | Information Sciences | 2005 | 16 Pages |
Abstract
We describe a new approach for exploiting relevance feedback in content-based image retrieval (CBIR). In our approach to relevance feedback we try to capture more of the users' relevance judgments by allowing the use of natural language like comments on the retrieved images. Using methods from fuzzy logic and computational intelligence we are able to reflect these comments into new targets for searching the image database. Such enhanced information is utilized to develop a system that can provide more effective and efficient retrieval.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ronald R. Yager, Frederick E. Petry,