No-reference quality assessment for networked video via primary analysis of bit stream

Fuzheng Yang, Shuai Wan, Qingpeng Xie, Hong Ren Wu

Research output: Contribution to journalArticlepeer-review

88 Scopus citations

Abstract

A no-reference (NR) quality measure for networked video is introduced using information extracted from the compressed bit stream without resorting to complete video decoding. This NR video quality assessment measure accounts for three key factors which affect the overall perceived picture quality of networked video, namely, picture distortion caused by quantization, quality degradation due to packet loss and error propagation, and temporal effects of the human visual system. First, the picture quality in the spatial domain is measured, for each frame, relative to quantization under an error-free transmission condition. Second, picture quality is evaluated with respect to packet loss and the subsequent error propagation. The video frame quality in the spatial domain is, therefore, jointly determined by coding distortion and packet loss. Third, a pooling scheme is devised as the last step of the proposed quality measure to capture the perceived quality degradation in the temporal domain. The results obtained by performance evaluations using MPEG-4 coded video streams have demonstrated the effectiveness of the proposed NR video quality metric.

Original languageEnglish
Article number5604300
Pages (from-to)1544-1554
Number of pages11
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume20
Issue number11
DOIs
StatePublished - Nov 2010

Keywords

  • Coding distortion
  • networked video
  • no-reference video quality assessment
  • packet loss
  • temporal pooling

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