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Depth Based Perceptual Quality Assessment for Synthesised Camera Viewpoints

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Book cover User Centric Media (UCMEDIA 2010)

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.

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References

  1. Girod, B.: What’s wrong with Mean-Squared Error. In: Watson, A.B. (ed.) Digital Images and Human Vision, ch. 15, pp. 207–220. The MIT Press (1993)

    Google Scholar 

  2. Pinson, M.H., Wolf, S.: A new standardized method for objectively measuring video quality. IEEE Transactions on Broadcasting 50(3), 312–322 (2004)

    Article  Google Scholar 

  3. Hewage, C.T.E.R., Worrall, S., Dogan, S., Kondoz, A.M.: Quality Evaluation of Colour plus Depth Map Based Stereoscopic Video. IEEE Journal of Selected Topics in Signal Processing 3(2), 304–318 (2009)

    Article  Google Scholar 

  4. Merkle, P., Morvan, Y., Smolic, A., Farin, D., Mueller, K., de With, P.H.N., Wiegand, T.: The Effects of Multiview Depth Video Compression on Multiview Rendering. Signal Processing: Image Communication 24, 73–88 (2009)

    Google Scholar 

  5. De Silva, D., Fernando, W.A.C., Kodikara Arachchi, H.: A New Mode Selection Technique for Coding Depth Maps of 3D Video. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), Dallas (March 2010)

    Google Scholar 

  6. Zhao, Y., et al.: Perceptual measurement for evaluating quality of view synthesis. In: MPEG Doc. M16407, Maui, USA (April 2009)

    Google Scholar 

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

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Ekmekcioglu, E., Worrall, S., De Silva, D., Fernando, A., Kondoz, A.M. (2012). Depth Based Perceptual Quality Assessment for Synthesised Camera Viewpoints. In: Alvarez, F., Costa, C. (eds) User Centric Media. UCMEDIA 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 60. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35145-7_10

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  • DOI: https://doi.org/10.1007/978-3-642-35145-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35144-0

  • Online ISBN: 978-3-642-35145-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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