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

User-driven lossy compression for images and video

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)
Brewer, N. ; Coll. of Eng. & Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia ; Lei Wang ; Nianjun Liu ; Li Cheng

In any given scene, a human observer is typically more interested in some objects than others, and will pay more attention to those objects they are interested in. This paper aims to capture this attention focusing behavior by selectively merging a fine-scale oversegmentation of a frame so that interesting regions are segmented into smaller regions than uninteresting regions. This results in a new type of image partitioning which reflects in the image the amount of attention we pay to a particular image region. This is done using a novel, interactive method for learning merging rules for images and videos based on defining a weighted distance metric between adjacent oversegments. We present as an example application of this technique a new lossy image and video stream compression method which attempts to minimize the loss in areas of interest.

Published in:

Image and Vision Computing New Zealand, 2009. IVCNZ '09. 24th International Conference

Date of Conference:

23-25 Nov. 2009

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.