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

The sparse image representation for automated 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

3 Author(s)
Praks, P. ; Dept. of Inf. & Knowledge Eng., Univ. of Econ., Prague ; Kucera, R. ; Izquierdo, E.

We describe a novel sparse image representation for full automated content-based image retrieval using the latent semantic indexing (LSI) approach and also a novel statistical-based model for the efficient dimensional reduction of sparse data. Although images can be represented sparsely for instance by the discrete cosine transform (DCT) coefficients, this sparsity character is destroyed during the LSI-based dimension reduction process. In our approach, we keep the memory limit of the decomposed data by a statistical model of the sparse data. The aim is to find a small but "important" sub-set of coefficients, which represent semantics of images efficiently. The effectiveness of our novel approach is demonstrated by the large scale image similarity task of the NIST TrecVid 2007 benchmark.

Published in:

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Date of Conference:

12-15 Oct. 2008

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.