By Topic

Query-by-sketch interactive image retrieval using rough sets

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hisamori, T. ; Shizuoka Univ., Shizuoka ; Ohashi, G.

The present paper describes a query-by-sketch image retrieval system aimed at reducing the semantic gap between low-level features and high-level semantics by adopting relevance feedback. To reduce the semantic gap in this content-based image retrieval system, user sketches play an important role in relevance feedback. When users mark similar images of output images with "relevant" labels, these "relevant" images are relevant to the sketch image in feedback. On the other hand, when users mark dissimilar images of output images with "irrelevant" labels, these "irrelevant" images are irrelevant to the sketch image in feedback. However, in the method the effect of the feedback has been limited by the images with "relevant" and "irrelevant" labels. The purpose of the present paper is to expand the effect on other images, using query-by-sketch retrieval and rough sets. The proposed method is applied to 7,500 images in Corel Photo Gallery. Experimental results show that the proposed method is effective in retrieving images.

Published in:

Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on

Date of Conference:

7-10 Oct. 2007