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

Perceptual multiview video coding using synthesized Just Noticeable Distortion maps

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)
Yu Gao ; Simon Fraser Univ., Burnaby, BC, Canada ; Xiaoyu Xiu ; Jie Liang ; Weisi Lin

In this paper, a perceptual multiview video coding scheme is proposed, based on the synthesized Just Noticeable Distortion (JND) maps. In JND-based perceptual video coding, the residues after intra or inter prediction are tuned according to the corresponding JND thresholds to save the bits without affecting the perceptual quality. In our scheme, to reduce the computational cost of generating the multiview JND maps, only the JND maps of some anchor views are calculated directly. These maps are then used to synthesize the JND maps of other views via the block-based Depth Image Based Rendering (DIBR) method, which can be more than 30 times faster than direct computation with reasonable error. Experimental results show that the proposed scheme can improve the perceptual performance of the JMVC by more than 1 dB in terms of the Peak Signal Perceptual Noise Ratio (PSPNR).

Published in:

Circuits and Systems (ISCAS), 2011 IEEE International Symposium on

Date of Conference:

15-18 May 2011

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.