By Topic

Quadtree based image indexing in wavelets compressed domain

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)
Voulgaris, G. ; Univ. of Glamorgan, UK ; Jiang, J.

A considerable amount of research has been done in the past on the use of quadtrees in pixel domain for image indexing as well as their use with the wavelet decomposition for image compression. In this paper we attempt to fuse those two approaches in order to produce a system which makes use of quadtrees for image indexing in wavelets compressed domain. The proposed system uses the quadtree representation of the DWT significance map as the indexing key. The measure of similarity between two images is given by the comparison (XOR-ing) of their respective quadtree structures. Extensive experiments have been made using a database of over 1000 images. The accuracy of the system is demonstrated by a representative set of results as well as a comparison with a state of the art benchmark system.

Published in:

Eurographics UK Conference, 2002. Proceedings. The 20th

Date of Conference:

2002