Journal ArticleDOI
A new standardized method for objectively measuring video quality
M.H. Pinson,S. Wolf +1 more
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TLDR
The independent test results from the VQEG FR-TV Phase II tests are summarized, as well as results from eleven other subjective data sets that were used to develop the NTIA General Model.Abstract:
The National Telecommunications and Information Administration (NTIA) General Model for estimating video quality and its associated calibration techniques were independently evaluated by the Video Quality Experts Group (VQEG) in their Phase II Full Reference Television (FR-TV) test. The NTIA General Model was the only video quality estimator that was in the top performing group for both the 525-line and 625-line video tests. As a result, the American National Standards Institute (ANSI) adopted the NTIA General Model and its associated calibration techniques as a North American Standard in 2003. The International Telecommunication Union (ITU) has also included the NTIA General Model as a normative method in two Draft Recommendations. This paper presents a description of the NTIA General Model and its associated calibration techniques. The independent test results from the VQEG FR-TV Phase II tests are summarized, as well as results from eleven other subjective data sets that were used to develop the method.read more
Citations
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Vamsi Kiran Adhikarla,Marek Vinkler,Denis Sumin,Rafal Mantiuk,Karol Myszkowski,Hans-Peter Seidel,Piotr Didyk +6 more
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References
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DVQ: A digital video quality metric based on human vision
TL;DR: The Digital Video Quality (DVQ) metric as discussed by the authors is based on the Discrete Cosine Transform (DCT) and incorporates aspects of early visual processing, including light adaptation, luminance and chromatic channels, spatial and temporal filtering, spatial frequency channels, contrast masking, and probability summation.
Journal ArticleDOI
Digital video quality metric based on human vision
TL;DR: A new digital video quality metric, which is based on the discrete cosine transform, which incorporates aspects of early visual pro- cessing, including light adaptation, luminance, and chromatic chan- nels; spatial and temporal filtering; spatial frequency channels; con- trast masking; and probability summation.
Video Quality Measurement Techniques
TL;DR: The goal of this report is to provide a complete description of the ITS video quality metric (VQM) algorithms and techniques, which provide close approximations to the overall quality impressions, or mean opinion scores, of digital video impairments that have been graded by panels of viewers.
Journal ArticleDOI
A basic multimedia quality model
TL;DR: The results of these studies found that human subjects integrate audio and video quality together using a multiplicative rule.
Journal ArticleDOI
PVQM – A perceptual video quality measure
Andries Pieter Hekstra,John G. Beerends,D. Ledermann,F. E. de Caluwe,S. Kohler,Robert Hendrik Koenen,S. Rihs,M. Ehrsam,D. Schlauss +8 more
TL;DR: A perceptual video quality system is proposed, that uses a linear combination of three indicators, the “edginess” of the luminance, the normalized color error and the temporal decorrelation, that showed the highest variance weighted regression overall correlation of all models.