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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12008/39562 How to cite
Title: Prediction of video quality degradation on a cloud gaming platform.
Authors: Amaral Bordón, Alex Daniel
Armendariz Voelker, Alejandra
Erramuspe Reyes, Santiago
Joskowicz, José
Liu, Mengying
Type: Preprint
Keywords: Degradation, Visualization, Video games, Cloud gaming, Streaming media, Prediction algorithms, Real-time systems, Multimedia transmission, Multimedia service, Visual degradations, Real-time prediction, Quality of experience
Issue Date: 2023
Abstract: Cloud gaming has become a promising way to play high-quality video games on relatively inexpensive devices. Cloud gaming platforms run interactive video games remotely in the cloud and stream multimedia to the gamer’s device via a telecommunications network. These platforms have many benefits, but also pose several problems and challenges, as they are highly dependent on the network from servers to users. This work aims to study the effect of network impairments on video quality, and to predict video quality degradation in real time. In particular, it was determined that latency is a good predictor of packet loss, which was found to result in visual degradation. Based on this, an algorithm was designed to predict real-time visual degradations before they actually occur.
Citation: Amaral Bordón, A., Armendariz Voelker, A., Erramuspe Reyes, S. y otros. Prediction of video quality degradation on a cloud gaming platform [Preprint]. EN: 2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Beijing, China, 14-16 jun 2023, p. 1-5. DOI: 10.1109/BMSB58369.2023.10211223
Appears in Collections:Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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