Modeling of transmission-loss-induced distortion in decoded video

Yao Wang, Zhenyu Wu, Jill M. Boyce

Research output: Contribution to journalArticle

Abstract

This paper analyzes the distortion in decoded video caused by random packet losses in the underlying transmission network. A recursion model is derived that relates the average channel-induced distortion in successive P-frames. The model is applicable to all video encoders using the block-based motion-compensated prediction framework (including the H261/263/264 and MPEG1/2/4 video coding standards) and allows for any motion-compensated temporal concealment method at the decoder. The model explicitly considers the interpolation operation invoked for motion-compensated temporal prediction and concealment with sub-pel motion vectors. The model also takes into account the two new features of the H.264/AVC standard, namely intraprediction and inloop deblocking filtering. A comparison with simulation data shows that the model is very accurate over a large range of packet loss rates and encoder intrablock rates. The model is further adapted to characterize the channel distortion in subsequent received frames after a single lost frame. This allows one to easily evaluate the impact of a single frame loss.

Original languageEnglish (US)
Article number1637512
Pages (from-to)716-732
Number of pages17
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume16
Issue number6
DOIs
StatePublished - Jun 2006

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Packet loss
Electric power transmission networks
Image coding
Interpolation

Keywords

  • Deblocking filter
  • End-to-end distortion
  • Error concealment
  • Error propagation
  • H.264/AVC
  • Intraprediction
  • Packet loss

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Modeling of transmission-loss-induced distortion in decoded video. / Wang, Yao; Wu, Zhenyu; Boyce, Jill M.

In: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 16, No. 6, 1637512, 06.2006, p. 716-732.

Research output: Contribution to journalArticle

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