Prediction of Quality of Experience (QoE) of Cloud-Gaming Through an Approach to Extracting the Indicators from User Generated Content (UGC)
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35979-8_20
Reference12 articles.
1. Slivar, I., Skorin-Kapov, L., Suznjevic, M.: Cloud gaming QoE models for deriving video encoding adaptation strategies. In: Proceedings of the 7th International Conference on Multimedia Systems, New York, NY, USA, May 2016, pp. 1–12 (2016). https://doi.org/10.1145/2910017.2910602
2. Abar, T., Ben Letaifa, A., El Asmi, S.: Chapter five - user behavior-ensemble learning based improving QoE fairness in HTTP adaptive streaming over SDN approach. In: Hurson, A.R. (Ed.) Advances in Computers, vol. 123, pp. 245–269. Elsevier (2021). https://doi.org/10.1016/bs.adcom.2021.01.004
3. Krasula, L., Le Callet, P.: Chapter 4 - Emerging science of QoE in multimedia applications: concepts, experimental guidelines, and validation of models. In: Chellappa, R., Theodoridis, S. (Eds.) Academic Press Library in Signal Processing, vol. 6, pp. 163–209. Academic Press (2018). https://doi.org/10.1016/B978-0-12-811889-4.00004-X
4. Aciar, S., Aciar, G.: Analyzing user experience through web opinion mining. In: Meiselwitz, G. (ed.) Social Computing and Social Media. Applications and Analytics. LNCS, vol. 10283, pp. 203–214. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58562-8_16
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