Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
384509 | Expert Systems with Applications | 2009 | 7 Pages |
Abstract
A new method for combining visual and semantic features in image retrieval is presented. A fuzzy k-NN classifier assigns initial semantic labels to database images. These labels are gradually modified by relevance feedbacks from the users. Experimental results on a database of 1000 images from 10 semantic groups are reported.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hossein Nezamabadi-pour, Ehsanollah Kabir,