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Depth Based Perceptual Quality Assessment for Synthesised Camera Viewpoints

  • Erhan Ekmekcioglu
  • Stewart Worrall
  • Demuni De Silva
  • Anil Fernando
  • Ahmet M. Kondoz
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 60)

Abstract

This paper considers the visual quality assessment for view synthesis in the context of 3D video delivery chain. It is targeted to perceptually quantify the reconstruction quality of synthesised camera viewpoints. It is needed for developing better QoE models related to 3D-TV, as well as for a better representation of the effect of depth maps on views synthesis quality. In this paper, existing 2D video quality assessment methods, like PSNR and SSIM, are extended to assess the perceived quality of synthesised viewpoints based on the depth range. The performance of the extended assessment techniques is measured by correlating multiple sample video assessment scores to that of the Video Quality Metric (VQM) scores, which are a robust reflector of real subjective opinions.

Keywords

3DTV Free-viewpoint Video Video Quality Assessment Depth Map Multi-view Video 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Erhan Ekmekcioglu
    • 1
  • Stewart Worrall
    • 1
  • Demuni De Silva
    • 1
  • Anil Fernando
    • 1
  • Ahmet M. Kondoz
    • 1
  1. 1.I-Lab Multimedia Communications Research GroupUniversity of SurreyGuildfordUnited Kingdom

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