ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 - JCT3V-C0032: A human visual system based 3D video quality metric
Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, and Panos Nasiopoulos

TL;DR
This paper introduces HV3D, a human visual system-based 3D video quality metric that outperforms traditional metrics in correlating with subjective quality assessments.
Contribution
It presents a novel full-reference 3D video quality metric based on human visual system modeling, validated through subjective testing.
Findings
HV3D shows the highest correlation with MOS among tested metrics.
The metric effectively evaluates the quality of compressed stereo videos.
Experimental results demonstrate its superiority over PSNR, SSIM, MS-SSIM, VIFp, and VQM.
Abstract
This contribution proposes a full-reference Human-Visual-System based 3D video quality metric. In this report, the presented metric is used to evaluate the quality of compressed stereo pair formed from a decoded view and a synthesized view. The performance of the proposed metric is verified through a series of subjective tests and compared with that of PSNR, SSIM, MS-SSIM, VIFp, and VQM metrics. The experimental results show that HV3D has the highest correlation with Mean Opinion Scores (MOS) compared to other tested metrics.
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Taxonomy
TopicsImage and Video Quality Assessment · Video Coding and Compression Technologies · Color Science and Applications
