An NFV-Based Video Quality Assessment Method over 5G Small Cell Networks
Abstract
A video quality assessment mechanism for next-generation (5G) mobile networks uses the small cell deployment architecture to implement a virtual network function to enable in-service monitoring of delivered video quality.
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Cites
Image quality assessment: from error visibility to structural similarity
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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 · see citing works
- Authors
- Kourtis, M.-A., Koumaras, H., Xilouris, G., & Liberal, F.
- Affiliations
- National Centre of Scientific Research "Demokritos" (GR)
- University of the Basque Country (ES)
- Venue
- IEEE MultiMedia
- Published
- 2017-10
- Volume
- 24
- Issue
- 4
- Pages
- 68-78
- ISSN
- 1070-986X (ISSN-L)
- OpenAlex
- W2626738293
- Cited by
- 22
- References
- 9
- Citations by year
- 2026: 1 · 2023: 2 · 2021: 3 · 2020: 3 · 2019: 6 · 2018: 6 · 2017: 1
- FWCI
- 1.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Multimedia (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- video quality assessment, next generation networks, 5G, small cell networks, network function virtualization, virtual network functions, in-service monitoring
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