3D Video Quality Metric for Mobile Applications
Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, and Panos Nasiopoulos

TL;DR
This paper introduces a new full-reference 3D video quality metric tailored for mobile applications, considering human visual perception and various display factors, achieving high correlation with subjective quality assessments.
Contribution
The paper presents a novel 3D quality metric specifically designed for mobile devices, incorporating human visual system modeling and display parameters, outperforming existing metrics.
Findings
Achieves 82% correlation with subjective tests.
Effectively monitors quality degradation from various distortions.
Outperforms state-of-the-art mobile 3D quality metrics.
Abstract
In this paper, we propose a new full-reference quality metric for mobile 3D content. Our method is modeled around the Human Visual System, fusing the information of both left and right channels, considering color components, the cyclopean views of the two videos and disparity. Our method is assessing the quality of 3D videos displayed on a mobile 3DTV, taking into account the effect of resolution, distance from the viewers eyes, and dimensions of the mobile display. Performance evaluations showed that our mobile 3D quality metric monitors the degradation of quality caused by several representative types of distortion with 82 percent correlation with results of subjective tests, an accuracy much better than that of the state of the art mobile 3D quality metric.
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Taxonomy
TopicsImage and Video Quality Assessment · Advanced Optical Imaging Technologies · Advanced Image Processing Techniques
