Parametric estimation of structural similarity degradation for video transmission over error-prone networks

Young Jae Kwon, Jong Seok Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A parametric model to estimate the degradation of objective video quality over error-prone networks is proposed. The model estimates an expected quality degradation in terms of one of the most reliable perceptual quality metrics, structural similarities (SSIMs), for a given encoded video and network condition described by a packet loss rate. The simulation results demonstrate that the proposed model can estimate the expected SSIM degradation of H.264/ advanced video coding encoded videos with high accuracy.

Original languageEnglish
Pages (from-to)1147-1148
Number of pages2
JournalElectronics Letters
Volume49
Issue number18
DOIs
Publication statusPublished - 2013 Aug 29

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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