Abstract
Depth-image-based rendering (DIBR) is fundamental to 3D-TV applications because the generation of new viewpoints is recurrent. Like any tool, DIBR methods are subject to evaluations, thanks to the assessment of the visual quality of the resulting generated views. This assessment task is peculiar because DIBR can be used for different 3D-TV applications: either in a 2D context (Free Viewpoint Television, FTV), or in a 3D context (3D displays reproducing stereoscopic vision). Depending on the context, the factors affecting the visual experience may differ. This chapter concerns the case of the use of DIBR in the 2D context. It addresses two particular cases of use: visualization of still images and visualization of video sequences, in FTV in the 2D context. Through these two cases, the main issues of DIBR are presented in terms of visual quality assessment. Two experiments are proposed as case studies addressing the problematic of this chapter: the first one concerns the assessment of still images and the second one concerns the video sequence assessment. The two experiments question the reliability of subjective and objective usual tools when assessing the visual quality of synthesized views in a 2D context.
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Acknowledgments
We would like to thank the experts who provided the synthesized sequences of the presented experiments, as well as the algorithms specifications: Martin Köppel and Patrick Ndjiki-Nya, from the Fraunhofer Institut for Telecommunications, HHI (Berlin).
We would like to acknowledge the Interactive Visual Media Group of Microsoft Research for providing the Breakdancers data set, the MPEG Korea Forum for providing the Lovebird1 data set, the GIST for providing the Newspaper data set, and HHI for providing Book Arrival.
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Bosc, E., Le Callet, P., Morin, L., Pressigout, M. (2013). Visual Quality Assessment of Synthesized Views in the Context of 3D-TV . In: Zhu, C., Zhao, Y., Yu, L., Tanimoto, M. (eds) 3D-TV System with Depth-Image-Based Rendering. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9964-1_15
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DOI: https://doi.org/10.1007/978-1-4419-9964-1_15
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