An Objective Metric for Stereoscopic 3D Video Quality Prediction Using Perceptual Thresholds

Metadata

Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag J.
Volume: 124, No. 2, pp. 47–55
Abstract: This study proposes an objective metric dedicated to stereoscopic 3D video quality assessment, which characterizes a detected problem based on its influence on viewers' perception and avoids a direct prediction of the mean opinion score. Once the problem (degradation or artifact) is detected, it can be automatically classified into one of the following color categories: (1) Green, for no problems perceived; (2) Orange, which indicates the problem is acceptable but induces visual annoyance; or (3) Red, for unacceptable problem level. The boundary between the Green and the Orange categories defines the visual annoyance threshold, while the boundary between the Orange and the Red categories defines the acceptability threshold. This metric can be adapted to service or production requirements by changing the percentage of acceptability.
Publication Date: 2015-03-01
DOI: 10.5594/j18516
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/j18516
Author(s): Darya Khaustova
bio
Darya Khaustova received a double-M.S. degree in computer science (Donetsk National Technical University, Ukraine) in 2008 and a European Master's in Color Science (CIMET) in 2011. She is currently a Ph.D. student at Orange Labs and University of Rennes 1 and will defend her thesis in early 2015. Her research focuses on objective prediction quality of experience of stereoscopic content and visual attention. Khaustova is also interested in quality assessment, human visual perception and subjective evaluation.
Jerome Fournier
bio
Jérôme Fournier received a Ph.D. in signal and image processing from the University of Rennes in 1995. The main aim of his thesis was the subjective evaluation of stereoscopic television. This led to his participation in the European project, RACE DISTIMA. After that, he worked on video compression for video communications at LEP (Philips Research Laboratory in France) and participated in the standardization process of H.263. In 1997, he joined France Telecom R&D and worked on the subjective evaluation of video sequences and on the implementation of standardized video codecs such as MPEG-4 Part 2 and H.264. Since 2006, Fournier has been working on the deployment of Orange's stereoscopic 3DTV as well as on the assessment of innovative 3DTV depth-based video formats as part of the European project, 3D4YOU. Currently, he is mainly involved in the subjective evaluation of Ultra HD video formats recently standardized at ITU-R as well as new video related technologies such as HFR (high-frame rate), HDR (high dynamic range) and HEVC (high-efficiency video coding).
Olivier Le Meur
bio
Olivier Le Meur joined the research center of Thomson-Technicolor at Rennes in 2003, where he supervised a research project concerning the modeling of the human visual attention. Since 2009, he has been an associate professor for image processing at the University of Rennes 1. In the IRISA/SIROCCO team, his research interests are dealing with the understanding of the human visual attention and image editing. It includes computational modeling of the visual attention, saliency-based applications (video compression, objective assessment of video quality, retargeting) and image and video editing. Le Meur obtained a Ph.D. degree from the University of Nantes in 2005.
Copyright: © 2015 Society of Motion Picture and Television Engineers, Inc.

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Darya Khaustova, Jerome Fournier, and Olivier Le Meur; An Objective Metric for Stereoscopic 3D Video Quality Prediction Using Perceptual Thresholds, SMPTE Motion Imaging Journal ( Volume: 124, Issue: 2, March 2015); SMPTE, 2015. Available at https://doi.org/10.5594/j18516

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Darya Khaustova, Jerome Fournier, and Olivier Le Meur; An Objective Metric for Stereoscopic 3D Video Quality Prediction Using Perceptual Thresholds, SMPTE Motion Imaging Journal ( Volume: 124, Issue: 2, March 2015); SMPTE, 2015. Available at https://doi.org/10.5594/j18516

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<span class="citation">Darya Khaustova, Jerome Fournier, and Olivier Le Meur; <cite>An Objective Metric for Stereoscopic 3D Video Quality Prediction Using Perceptual Thresholds</cite>, SMPTE Motion Imaging Journal ( Volume: 124, Issue: 2, March 2015); SMPTE, 2015. Available at <a href="https://doi.org/10.5594/j18516" target="_blank" rel="noopener">https://doi.org/10.5594/j18516</a></span>

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Darya Khaustova, Jerome Fournier, and Olivier Le Meur; <cite id="bib-10-5594-j18516">An Objective Metric for Stereoscopic 3D Video Quality Prediction Using Perceptual Thresholds</cite>, SMPTE Motion Imaging Journal ( Volume: 124, Issue: 2, March 2015); SMPTE, 2015
<span class="doi">10.5594/j18516</span>
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