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https://hdl.handle.net/20.500.12008/39562
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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 |
Files in This Item:
File | Description | Size | Format | ||
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AAEJL23.pdf | Preprint | 3,42 MB | Adobe PDF | View/Open |
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