A dynamic error concealment for video transmission over noisy channels

Wei Ying Kung, Chang Su Kim, C. C.Jay Kuo

Research output: Contribution to journalConference articlepeer-review

Abstract

A dynamic mode-weighted error concealment method is proposed for video packets transmitted over noisy channels in this work. We first introduce two error concealment approaches. One is to reconstruct lost pixels by interpolating candidate pixels indicated by neighboring motion vectors. The other is to estimate the motion vector by a side matching algorithm. Four corrupted block reconstruction modes are described based on the two error concealment approaches. Then, the value of an erroneous pixel is replaced by a weighted sum of those reconstructed by two modes. The property of the weighted sum is analyzed. It is shown that the optimal weighting coefficients can be expressed as a formula in terms of the error variance and the correlation coefficients associated with the reconstruction modes. Furthermore, based on the decoder-based error tracking model, these weighting coefficients are dynamically updated to minimize the instant propagation and concealment error variance. Extensive simulations are provided to demonstrate that the proposed method can lead to a satisfying performance in an error-prone environment.

Original languageEnglish
Pages (from-to)133-144
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4861
DOIs
Publication statusPublished - 2002
Externally publishedYes
EventMultimedia systems and Applications V - Boston, MA, United States
Duration: 2002 Jul 292002 Jul 30

Keywords

  • Error concealment
  • Error tracking model
  • Robust video transmission

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A dynamic error concealment for video transmission over noisy channels'. Together they form a unique fingerprint.

Cite this