Cart (Loading....) | Create Account
Close category search window
 

Mapping image segments to words for image retrieval

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

4 Author(s)
Nakagawa, A. ; Japan Syst. Co. Ltd., Tokyo, Japan ; Arai, S. ; Kutics, A. ; Tanaka, H.

This paper proposes a new method for mapping image segments to words in three layers for image retrieval. Our main goal here is to incorporate higher-level semantics into the retrieval process and thus narrow the gap between the user's interpretation and the automatically extracted low-level visual features of the same image content. The method is based on nonlinear segmentation, as well as clustering and statistical learning applied to both visual and textual features to find semantic relations between visual segment clusters and words of various abstraction levels. Experiments conducted on a wide, natural image domain shows that step-by-step semantic inferencing in image-word mapping helps to improve retrieval performance. The method supports various textual and/or visual browsing and searching schemes and is proved to be very useful for effective browsing and retrieval in large image data sets.

Published in:

Multimedia Signal Processing, 2004 IEEE 6th Workshop on

Date of Conference:

29 Sept.-1 Oct. 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.