IEEE Transactions on Broadcasting, 60, no. 4 (December 2014): 637–649
Temporal Video Quality Model Accounting for Variable Frame Delay Distortions
doi: 10.1109/TBC.2014.2365260Cite This Publication
Margaret H. Pinson, Lark Kwon Choi, and Alan Conrad Bovik, “Temporal Video Quality Model Accounting for Variable Frame Delay Distortions,” IEEE Transactions on Broadcasting 60, no. 4 (December 2014): 637–649 http://dx.doi.org/10.1109/TBC.2014.2365260.
Margaret H. Pinson , Lark Kwon Choi, and Alan Conrad Bovik
Abstract: We announce a new Video Quality Model (VQM) that accounts for the perceptual impact of variable frame delays (VFD) in videos with demonstrated top performance on the Laboratory for Image & Video Engineering (LIVE) Mobile Video Quality Assessment (VQA) database. This model, called VQM_VFD, uses perceptual features extracted from spatial-temporal blocks spanning fixed angular extents and a long edge detection filter. VQM_VFD predicts video quality by measuring multiple frame delays using perception based parameters to track subjective quality over time. In the performance analysis of VQM_VFD, we evaluated its efficacy at predicting human opinions of visual quality. A detailed correlation analysis and statistical hypothesis testing show that VQM_VFD accurately predicts human subjective judgments and substantially outperforms top-performing Image Quality Assessment (IQA) and VQA models previously tested on the LIVE Mobile VQA database. VQM_VFD achieved the best performance on the mobile and tablet studies of the LIVE Mobile VQA database for simulated compression, wireless packet-loss, and rate adaptation, but not for temporal dynamics. These results validate the new model and warrant a hard release of the VQM_VFD algorithm. It is freely available for any purpose, commercial or noncommercial, at https://www.its.ntia.gov/vqm/.
Keywords: video quality model; video quality assessment; variable frame delay; edge detection; VQM_VFD
For technical information concerning this report, contact:
Margaret H. Pinson
Institute for Telecommunication Sciences
(303) 497-3579
mpinson@ntia.doc.gov
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