Distortion chains for predicting the video distortion for general packet loss patterns

Jacob Chakareski, John Apostolopoulos, Wai Tian Tan, Susie Wee, Bernd Girod

Research output: Contribution to journalConference articlepeer-review

30 Scopus citations


When designing a system for video communication over a lossy packet network, it is highly beneficial to have a mechanism for accurately predicting the mean-squared error (MSE) distortion that results from different packet loss patterns. This paper proposes Distortion Chains model for accurately predicting the end-to-end distortion for different general packet loss patterns. The performance is examined using JVT/H.264 encoded video sequences and previous frame error concealment. It is shown that for all tested sequences the proposed model predicts the total distortion due to a packet loss pattern within a 10 % error bound 80 % of the time, as compared to the conventional additive approach which achieves the same accuracy less then 40 % of the time.

Original languageEnglish (US)
Pages (from-to)V-1001-V-1004
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - 2004
Externally publishedYes
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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