Paper
31 December 2013 Assessment of 3D quality of experience with content analysis
Author Affiliations +
Abstract
Stereoscopic display has witnessed rapid progress in recent years, but it still suffers from the bad quality of experience (QoE) problem. Development of more reliable metrics for objective assessment of 3D QoE is challenging. In this paper, we propose a model that combines 2D and 3D features of the analyzed images with SSIM in order to produce more reliable estimation of the perceived subjective quality in terms of mean opinion score (MOS). The model was trained and evaluated on a public stereoscopic image database with associated ground truth MOS. Our results show that the proposed model achieved high correlation with perceived quality and it is promising for objective evaluation of large stereoscopic image dataset after a relatively small training procedure.
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Bochao Zou, Yue Liu, Yi Huang, and Yongtian Wang "Assessment of 3D quality of experience with content analysis", Proc. SPIE 9042, 2013 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 90420G (31 December 2013); https://doi.org/10.1117/12.2038095
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KEYWORDS
Databases

Molybdenum

3D modeling

3D image processing

Data modeling

Feature extraction

Image quality

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