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

Darya Khaustova 1 Jérôme Fournier 2 Olivier Le Meur 1
1 Sirocco - Analysis representation, compression and communication of visual data
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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.
Type de document :
Article dans une revue
Smpte Motion Imaging Journal, SMPTE (Society for Motion Picture Television., 2015, 124 (2), pp.47-55
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https://hal.inria.fr/hal-01204808
Contributeur : Olivier Le Meur <>
Soumis le : jeudi 24 septembre 2015 - 15:42:26
Dernière modification le : mardi 16 janvier 2018 - 15:54:20

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  • HAL Id : hal-01204808, version 1

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Darya Khaustova, Jérôme Fournier, Olivier Le Meur. An Objective Metric for Stereoscopic 3D Video Quality Prediction Using Perceptual Thresholds. Smpte Motion Imaging Journal, SMPTE (Society for Motion Picture Television., 2015, 124 (2), pp.47-55. 〈hal-01204808〉

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