A stereoscopic content analysis system with visual discomfort-aware

An Chun Luo, Wei Jia Huang, Wen Chao Chen, Chung Wei Lin, Sei-Wang Chen

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

1 Citation (Scopus)

Abstract

The behavior of human perception plays an important rule for determining the degree of discomfort of a 3D content. In this paper, we propose stereoscopic content analysis methods with visual discomfort estimation. The system includes a perceptual based content analyzer, a vertical disparity analyzer, crosstalk analyzer, and an anaglyph viewer. The perceptual based content analyzer is composed of dense disparity map estimation using modified random walk framework and attention map estimation using static salient object and spatial-temporal attention (STA) analysis. All these analyzers that give us the flexibility to combine human perceptual factors for stereoscopic content analysis are integrated into one system. The hardware of system is design to process content analysis with full-HD stereo video input at 2fps. We also provide a mobile remote-control application which can control the analyzers and receive the current result of the system.

Original languageEnglish
Title of host publication2012 International Conference on 3D Imaging, IC3D 2012 - Proceedings
PublisherIEEE Computer Society
ISBN (Print)9781479915804
DOIs
Publication statusPublished - 2012 Jan 1
Event2012 2nd International Conference on 3D Imaging, IC3D 2012 - Liege, Belgium
Duration: 2012 Dec 32012 Dec 5

Publication series

Name2012 International Conference on 3D Imaging, IC3D 2012 - Proceedings

Other

Other2012 2nd International Conference on 3D Imaging, IC3D 2012
CountryBelgium
CityLiege
Period12/12/312/12/5

Keywords

  • discomfort-aware
  • perceptual based
  • stereo content analysis

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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