Visual saliency driven error protection for 3D video

Chaminda T.E.R. Hewage, Junle Wang, Maria G. Martini, Patrick Le Callet

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Viewers tend to focus into specific regions of interest in an image. Therefore visual attention is one of the major aspects to understand the overall Quality of Experience (QoE) and user perception. Visual attention models have emerged in the recent past to predict user attention in images, videos and 3D video. However, the usage of these models in quality assessment and quality improvement has not been thoroughly investigated to date. This paper investigates 3D visual attention model driven quality assessment and improvement methods for 3D video services. Moreover, a visual saliency driven error protection mechanism is proposed and evaluated in this paper. Both objective and subjective results show that the proposed method has significant potential to provide improved 3D QoE for end users.

Original languageEnglish
Title of host publicationElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
DOIs
Publication statusPublished - 3 Oct 2013
Externally publishedYes
Event2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 - San Jose, CA, United States
Duration: 15 Jul 201319 Jul 2013

Publication series

NameElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013

Conference

Conference2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
Country/TerritoryUnited States
CitySan Jose, CA
Period15/07/1319/07/13

Keywords

  • 3D visual attention model
  • Visual saliency
  • visual attention
  • visual attention model

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