Joint source-channel coding for motion-compensated DCT-based SNR scalable video

Lisimachos P. Kondi*, Faisal Ishtiaq, Aggelos K Katsaggelos

*Corresponding author for this work

Research output: Contribution to journalArticle

103 Scopus citations

Abstract

In this paper, we develop an approach toward joint source-channel coding for motion-compensated DCT-based scalable video coding and transmission. A framework for the optimal selection of the source and channel coding rates over all scalable layers is presented such that the overall distortion is minimized. The algorithm utilizes universal rate distortion characteristics which are obtained experimentally and show the sensitivity of the source encoder and decoder to channel errors. The proposed algorithm allocates the available bit rate between scalable layers and, within each layer, between source and channel coding. We present the results of this rate allocation algorithm for video transmission over a wireless channel using the H.263 Version 2 signal-to-noise ratio (SNR) scalable codec for source coding and rate-compatible punctured convolutional (RCPC) codes for channel coding. We discuss the performance of the algorithm with respect to the channel conditions, coding methodologies, layer rates, and number of layers.

Original languageEnglish (US)
Pages (from-to)1043-1052
Number of pages10
JournalIEEE Transactions on Image Processing
Volume11
Issue number9
DOIs
StatePublished - Sep 1 2002

Keywords

  • Joint source-channel coding
  • Scalable video
  • Wireless video

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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