An objective method for 3D quality prediction using perceptual thresholds and acceptability

Darya Khaustova 1, 2 Jérôme Fournier 2 Emmanuel Wyckens 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 a new objective metric for video quality assessment. It predicts the impact of technical quality parameters relevant to visual discomfort on human perception. The proposed metric is based on a 3-level color scale: (1) Green - not annoying, (2) Orange - annoying but acceptable, (3) Red - not acceptable. Therefore, each color category reflects viewers' judgment based on stimulus acceptability and induced visual annoyance. The boundary between the “Green" and “Orange" categories defines the visual annoyance threshold, while the boundary between the “Orange" and “Red" categories defines the acceptability threshold. Once the technical quality parameters are measured, they are compared to perceptual thresholds. Such comparison allows estimating the quality of the 3D video sequence. Besides, the proposed metric is adjustable to service or production requirements by changing the percentage of acceptability and/or visual annoyance. The performance of the metric is evaluated in a subjective experiment that uses three stereoscopic scenes. Five view asymmetries with four degradation levels were introduced into initial test content. The results demonstrate high correlations between subjective scores and objective predictions for all view asymmetries.
Type de document :
Communication dans un congrès
SPIE 9391, Stereoscopic Displays and Applications XXVI, Feb 2015, San Francisco, United States. 2015
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https://hal.inria.fr/hal-01204819
Contributeur : Olivier Le Meur <>
Soumis le : jeudi 24 septembre 2015 - 15:48:39
Dernière modification le : mardi 16 janvier 2018 - 15:54:20

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  • HAL Id : hal-01204819, version 1

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Darya Khaustova, Jérôme Fournier, Emmanuel Wyckens, Olivier Le Meur. An objective method for 3D quality prediction using perceptual thresholds and acceptability. SPIE 9391, Stereoscopic Displays and Applications XXVI, Feb 2015, San Francisco, United States. 2015. 〈hal-01204819〉

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