Share Email Print
cover

Proceedings Paper

Optimal joint power-rate adaptation for error resilient video coding
Author(s): Yuan Lin; Eren Gürses; Anna N. Kim; Andrew Perkis
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In recent years digital imaging devices become an integral part of our daily lives due to the advancements in imaging, storage and wireless communication technologies. Power-Rate-Distortion efficiency is the key factor common to all resource constrained portable devices. In addition, especially in real-time wireless multimedia applications, channel adaptive and error resilient source coding techniques should be considered in conjunction with the P-R-D efficiency, since most of the time Automatic Repeat-reQuest (ARQ) and Forward Error Correction (FEC) are either not feasible or costly in terms of bandwidth efficiency delay. In this work, we focus on the scenarios of real-time video communication for resource constrained devices over bandwidth limited and lossy channels, and propose an analytic Power-channel Error-Rate-Distortion (P-E-R-D) model. In particular, probabilities of macroblocks coding modes are intelligently controlled through an optimization process according to their distinct rate-distortion-complexity performance for a given channel error rate. The framework provides theoretical guidelines for the joint analysis of error resilient source coding and resource allocation. Experimental results show that our optimal framework provides consistent rate-distortion performance gain under different power constraints.

Paper Details

Date Published: 28 January 2008
PDF: 10 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220Q (28 January 2008); doi: 10.1117/12.765538
Show Author Affiliations
Yuan Lin, Norwegian Univ. of Science and Technology (Norway)
Eren Gürses, Univ. of Waterloo (Canada)
Anna N. Kim, Norwegian Univ. of Science and Technology (Norway)
Andrew Perkis, Norwegian Univ. of Science and Technology (Norway)


Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

© SPIE. Terms of Use
Back to Top