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

Coding of Multi-View Image Sequences with Video Sensors

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)
Flierl, M. ; Max Planck Center for Visual Comput. & Commun., Stanford Univ., CA, USA ; Girod, B.

We investigate coding of multiple image sequences with video sensors. The video sensors are arranged in an array to monitor the same scene from different view points. Furthermore, the sensors are connected to a central decoder via a network. Note that the video sensors process highly view-correlated images. This correlation can be exploited if the video sensors operate in a collaborative fashion. On the contrary, temporal correlation among the images of each sequence can be exploited locally at each sensor. Collaborative coding of the multi-view videos can be achieved by distributed processing of the multi-view imagery. If the video sensor network utilizes a central decoder, the view-correlation can be exploited by centralized disparity compensation at the decoder. But before the decoder is able to apply disparity compensation efficiently, accurate disparity values have to be estimated at the central decoder. This paper discusses the impact of disparity fields at the central decoder and uses these estimates for centralized disparity compensation at the decoder to improve the efficiency of the video sensor network.

Published in:

Image Processing, 2006 IEEE International Conference on

Date of Conference:

8-11 Oct. 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.