Objective Video Quality Assessment Methods: A Classification, Review, and Performance Comparison
By Shyamprasad Chikkerur, Vijay Sundaram, Martin Reisslein, Lina Karam. IEEE transactions on broadcasting, 2011
645 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/36c3037c2eab0949297a7afa4f471024b1c39026
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- A. Bovik
- Damon M. Chandler
- Rajiv Soundararajan
- Zhou Wang
- Weisi Lin
- Qian Zhang
- Kaishun Wu
- Yanjiao Chen
Citations in the corpus
- Developing a predictive model of quality of experience for internet video (2013, neutral): “, [17]) 7 X”
- Mean opinion score (MOS) revisited: methods and applications, limitations and alternatives (2016, background): “Large numbers of subjective MOS data [94] and objective quality metrics [37-39] have been made available.”
- A Survey on Quality of Experience of HTTP Adaptive Streaming (2015, neutral): “, [6]–[9]) or streaming technology (e.”
- Seven Challenges in Image Quality Assessment: Past, Present, and Future Research (2013, methodology): “This paper is meant to complement previous reviews and chapters on IQA [28–36] (see also [37, 38] for related reviews on video quality assessment).”
- 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].”
- From QoS to QoE: A Tutorial on Video Quality Assessment (2015, methodology): “For example, [32], [69] mainly follow the psychophysical/engineering approach classification method; [31], [70]–[72] mainly adopt the reference-based classification method, and [47] adopts a combination of the two.”