In-service Video Quality assessment based on SDN/NFV techniques
Abstract
This paper discusses the utilization of SDN/NFV as enabling technology for the provision of in-service video quality assessment. The proposed method is based on a reduced reference extension of the widely used full reference SSIM metric, proving how the applicability of SDN/NFV can support the development of novel value-added service. The proposed video quality assessment method is based on a two-step process, where in the first step a test pattern is used as a reference for the assessment of the original and the degraded signal and in the second step the SSIM value is estimated by the combination of these measurements. For the validation of the proposed method, a SDN/NFV infrastructure was deployed, supporting traffic steering of selected video flows through the VNF instantiation of the proposed method. The evaluation results demonstrated the advantages in terms of agility and flexibility of the SDN/NFV combination in the provision of the proposed in-service video quality assessment methodology.
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QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
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- Authors
- Koumaras, H., Kourtis, M.-A., Sakkas, C., Xilouris, G., & Kolometsos, S.
- Affiliations
- National Centre of Scientific Research "Demokritos" (GR)
- Venue
- 2016 23rd International Conference on Telecommunications (ICT)
- Publisher
- IEEE
- Published
- 2016-05
- Pages
- 1-5
- OpenAlex
- W2470809503
- Cited by
- 6
- References
- 5
- Citations by year
- 2024: 1 · 2023: 1 · 2021: 1 · 2019: 1 · 2018: 1 · 2016: 1
- FWCI
- 0.85
- Type
- conference paper
- Language
- en
- Open access
- closed
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Engineering › Media Technology › Telecommunications and Broadcasting Technologies
- Keywords
- software-defined networking, network function virtualization, SSIM, traffic steering, virtual network functions, value-added services
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