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

Study of Image Retrieval Based on Feature Vectors in 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)
Zhong, D. ; Inst. of Signal Process., Tampere Univ. of Technol. ; Defee, I.

An image retrieval method is proposed in this article, exploiting information of frequency components in compressed blocks. In this method images are first processed with block transform and quantization. Subsequently, the binary feature vector (BFV) is formulated to represent the local visual information. Special histograms are generated next based on BFV vectors providing statistical description of distribution of BFV vectors. The BFV concept is then extended to ternary feature vector (TFV). The BFV and TFV histograms are used for the image database retrieval. Three different feature vector schemes are proposed and the performances are investigated. Good retrieval results are obtained for standard public face image database

Published in:

Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic

Date of Conference:

June 2006

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.