The DOI matches its Crossref record; 154 of the 154 references it cites were found in a registry or an index.
From QoS to QoE: A Tutorial on Video Quality Assessment
Abstract
Quality of experience (QoE) is the perceptual quality of service (QoS) from the users' perspective. For video service, the relationship between QoE and QoS (such as coding parameters and network statistics) is complicated because users' perceptual video quality is subjective and diversified in different environments. Traditionally, QoE is obtained from subjective test, where human viewers evaluate the quality of tested videos under a laboratory environment. To avoid high cost and offline nature of such tests, objective quality models are developed to predict QoE based on objective QoS parameters, but it is still an indirect way to estimate QoE. With the rising popularity of video streaming over the Internet, data-driven QoE analysis models have newly emerged due to availability of large-scale data. In this paper, we give a comprehensive survey of the evolution of video quality assessment methods, analyzing their characteristics, advantages, and drawbacks. We also introduce QoE-based video applications and, finally, identify the future research directions of QoE.
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Cites
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Agiwal, M., Roy, A., & Saxena, N. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2532458 · Cited by 3,444
Large-Scale Study of Perceptual Video Quality
Sinno, Z., & Bovik, A. C. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2869673 · Cited by 310
QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
Barakabitze, A. A., Barman, N., Ahmad, A., Zadtootaghaj, S., Sun, L., Martini, M. G., & Atzori, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2958784 · Cited by 239
Perceptual video quality assessment: a survey
Min, X., Duan, H., Sun, W., Zhu, Y., & Zhai, G. (2024) · Science China Information Sciences · doi:10.1007/s11432-024-4133-3 · Cited by 218
QoE in Video Transmission: A User Experience-Driven Strategy
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Metadata
- Authors
- Chen, Y., Wu, K., & Zhang, Q.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2015
- Volume
- 17
- Issue
- 2
- Pages
- 1126-1165
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W1496659747
- Cited by
- 330
- References
- 154
- FWCI
- 22.85
- Type
- journal article
- Language
- en
- Open access
- closed
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