Joint source-channel coding for scalable video using models of rate-distortion functions

Lisimachos P. Kondi, Aggelos K Katsaggelos

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

A joint source-channel coding scheme for scalable video is developed in this paper. An SNR scalable video coder is used and Unequal Error Protection (UEP) is allowed for each scalable layer. Our problem is to allocate the available bit rate across scalable layers and, within each layer, between source and channel coding, while minimizing the end-to-end distortion of the received video sequence. The resulting optimization algorithm we propose utilizes universal rate-distortion characteristics plots. These plots show the contribution of each layer to the total distortion as a function of the source rate of the layer and the residual bit error rate (the error rate that remains after the use of channel coding). Models for these plots are proposed in order to reduce the computational complexity of the solution. Experimental results demonstrate the effectiveness of the proposed approach.

Original languageEnglish (US)
Pages (from-to)1377-1380
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
DOIs
StatePublished - Jan 1 2001

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Joint source-channel coding for scalable video using models of rate-distortion functions'. Together they form a unique fingerprint.

Cite this