Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference50 articles.
1. Abar T, Letaifa AB, Elasmi S (2018) Enhancing QoE based on machine learning and DASH in SDN networks. 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA), IEEE, Krakow, Poland, pp. 258–263, https://doi.org/10.1109/WAINA.2018.00095
2. Absolute Category Rating (ACR) ITU-R BT.500–12. Recommendation ITU-R BT.500-13Methodology for the subjective assessment of the quality of television pictures (Jan. 2012), [Accessed November 2019 Online]
3. Barman N, Martini MG (2019) QoE modeling for HTTP adaptive video streaming–a survey and open challenges. IEEE Access 7:30831–30859. https://doi.org/10.1109/ACCESS.2019.2901778
4. Barman N, Zadtootaghaj S, Schmidt S, Martini MG, Möller S (2018) An objective and subjective quality assessment study of passive gaming video streaming. International Journal of Network Management, pp. e2054. DOI: https://doi.org/10.1002/nem.2054
5. Barman N, Jammeh E, Ghorashi SA, Martini MG (2019) No-reference video quality estimation based on machine learning for passive gaming video streaming applications. IEEE Access 7:74511–74527. https://doi.org/10.1109/ACCESS.2019.2920477
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献