Digital Video Quality: Vision Models and Metrics

By Stefan Winkler. 2005

578 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e978e85e6271a73fc0abdfe9023d254499a5c817

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Citations in the corpus

Dynamic range independent image quality assessment (2008, background): “The topic is relatively well covered in a number of textbooks [Winkler 2005; Wang and Bovik 2006; Wu and Rao 2005].”
F Mean Squared Error: Love It or Leave It? (2009, methodology): “The most common method to take into account temporal correlations is temporal or spatiotemporal filtering [4], [47], [48].”
A new automated quality assessment algorithm for image fusion (2009, methodology): “In our research we consider what might be called the three most popular contrast calculation methods: a local RMS contrast definition [18], a local band-limited contrast measure [16,17], and an isotropic local contrast measure [12].”
Mean opinion score (MOS) revisited: methods and applications, limitations and alternatives (2016, background): “1 Comparing difference MOS (DMOS) from eight different subjective testing labs [32].”
The Evolution of Video Quality Measurement: From PSNR to Hybrid Metrics (2008, background): “QoE actually encompasses many different aspects—video quality is just one of them, arguably one of the most important [1].”
Video Quality Assessment by Reduced Reference Spatio-Temporal Entropic Differencing (2013, background): “A detailed subjective evaluation of popular full reference VQA algorithms can be found in [5].”
Subjective and Objective Quality Assessment of Audio Source Separation (2011, unknown): “Each objective measure is evaluated via the following criteria, as defined in [36]: • the prediction accuracy given by Pearson’s linear correlation coefficient”
From QoS to QoE: A Tutorial on Video Quality Assessment (2015, methodology): “In [73], the objective models are classiﬁed as pixel-based model (e.g., PSNR and MSE), vision-based single-channel model, vision-based multi-channel model and specialized model, yet this is not a commonly adopted classiﬁcation method.”