Adaptive multiple description coding for Internet video

Osama A. Lotfallah, Sethuraman Panchanathan

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

Transmission of compressed video over unreliable networks such as the Internet will inevitably result in serious degradations in video quality. Therefore, multiple description coding (MDC) encodes the video signal into a number of bit streams (descriptions) such that receiving a description improves the video quality. Among the different MDC schemes, spatial/temporal sub-sampling is a low complex encoding/decoding scheme, however these MDC schemes are vulnerable to varying channel conditions and visual content. To guarantee better image quality during transmission, we propose an adaptive scheme that alternates between two simple MDC schemes depending on the channel status and underlying visual content. The proposed scheme achieves substantial robustness over packet lossy networks. Furthermore, a Multi-Layer Perceptron (MLP) network is designed to provide an on-line decision mechanism with 85% accuracy. Experimental results suggest that our approach can achieve a superior video quality for a wide range of packet loss and video content.

Original languageEnglish (US)
Pages (from-to)732-735
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
StatePublished - Sep 25 2003
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: Apr 6 2003Apr 10 2003

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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