By Topic

An Improved Wyner-Ziv Video Coding for Sensor Network

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
$33 $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

5 Author(s)
Feng Ye ; Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China ; Aidong Men ; Xinming Zhang ; Kan Chang
more authors

Wyner-Ziv video coding is a new compression paradigm based on two key Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. It shifts the complexity to the decoder, resulting in a low- complexity encoder suitable for mobile video communications and visual sensor networks. This paper presents an improved Wyner-Ziv video coding scheme for sensor network. An improved key frame encoding method based on the correlation noise model (CNM) is proposed, and then a 3DRS-assisted motion estimation algorithm and AOBMC technique are used to improve the rate-distortion performance of the codec. The results show that our coding scheme can achieve 2-4 dB gain compared to state-of-the-art TDWZ codec and be deployed over a real visual sensor platform.

Published in:

Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd

Date of Conference:

15-18 May 2011