By Topic

RelaxImage: A Cross-Media Meta-Search Engine for Searching Images from Web Based on Query Relaxation

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
$33 $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)
A. Kuwabara ; Graduate Sch. of Informatics, Kyoto Univ., Japan ; K. Tanaka

We introduce a cross-media meta-search engine RelaxImage for searching images from Web. Notable features of the RelaxImage are as follows: (1) Each user’s keyword query is "relaxed", that is, by gradually relaxing the search terms used for image search, we can solve the problem of conventional image search engine such as Google. (2) For searching images, our RelaxImage sends a different keyword-query to each search engine of different media-type. We show several examples of how the relaxation approach works as well as ways that it can be applied. That is, our RelaxImage shows a great improvement for increasing recall ratio without decreasing of precision ratio.

Published in:

21st International Conference on Data Engineering (ICDE'05)

Date of Conference:

05-08 April 2005