From QoS to QoE: A Tutorial on Video Quality Assessment
By Yanjiao Chen, Kaishun Wu, Qian Zhang. IEEE Communications Surveys and Tutorials, 2015
339 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Urban Studies, Signal Processing
View Paper: https://www.semanticscholar.org/paper/68e782024e19966903ebee996fbf28c9f26d0458
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
- Zeina Sinno
- Martin Reisslein
- A. Bovik
- Abhishek Roy
- Carlos Bermejo
- Navrati Saxena
- Tristan Braud
- Abhishek Kumar
In Urban Studies
In Signal Processing
Citations in the corpus
- All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda (2021, background): “Besides, many studies focus on how to estimate the video quality as close as possible to the user’s perception [524], [525], and most do not consider other criteria such as usability or the subjective user perception [526].”
- Software Defined Optical Networks (SDONs): A Comprehensive Survey (2015, methodology): “Moreover, the FiWi testbed performance is measured for a video service scenario indicating that the virtualized FiWi networking approach improves the Quality of Experience (QoE) [333], [334] of the video streaming.”
- Large-Scale Study of Perceptual Video Quality (2018, methodology): “A few other video crowdsourcing methods have been re-ported, at much smaller scales without addressing the difficult technical issues [23], [24], [25], [26], [27] described in the preceding.”
- Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, methodology): “assessment methods, QoE based video applications and future research directions of QoE are presented in [180].”