Distortion Estimation Using Structural Similarity for Video Transmission over Wireless Networks

Arun Sankisa, Aggelos K Katsaggelos, Peshala V. Pahalawatta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Efficient streaming of video over wireless networks requires real-time assessment of distortion due to packet loss, especially because predictive coding at the encoder can cause inter-frame propagation of errors and impact the overall quality of the transmitted video. This paper presents an algorithm to evaluate the expected receiver distortion on the source side by utilizing encoder information, transmission channel characteristics and error concealment. Specifically, distinct video transmission units, Group of Blocks (GOBs), are iteratively built at the source by taking into account macroblock coding modes and motion-compensated error concealment for three different combinations of packet loss. Distortion of these units is then calculated using the structural similarity (SSIM) metric and they are stochastically combined to derive the overall expected distortion. The proposed model provides a more accurate estimate of the distortion that closely models quality as perceived through the human visual system. When incorporated into a content-aware utility function, preliminary experimental results show improved packet ordering & scheduling efficiency and overall video signal at the receiver.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages513-518
Number of pages6
ISBN (Electronic)9781509003792
DOIs
StatePublished - Mar 25 2016
Event17th IEEE International Symposium on Multimedia, ISM 2015 - Miami, United States
Duration: Dec 14 2015Dec 16 2015

Other

Other17th IEEE International Symposium on Multimedia, ISM 2015
CountryUnited States
CityMiami
Period12/14/1512/16/15

Keywords

  • cross-layer optimization
  • motion-compensation
  • packet scheduling
  • structural similarity
  • Video quality assessment

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software
  • Computer Networks and Communications

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  • Cite this

    Sankisa, A., Katsaggelos, A. K., & Pahalawatta, P. V. (2016). Distortion Estimation Using Structural Similarity for Video Transmission over Wireless Networks. In Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015 (pp. 513-518). [7442388] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISM.2015.88