Foveated Video Streaming for Cloud Gaming
This addresses bandwidth constraints for cloud gaming users, though it is incremental as it builds on existing foveated coding techniques.
The paper tackles the problem of high bandwidth requirements in cloud gaming by introducing a foveated video streaming system that adapts video quality based on the player's gaze, achieving bandwidth reductions of over 50% in evaluations.
Good user experience with interactive cloud-based multimedia applications, such as cloud gaming and cloud-based VR, requires low end-to-end latency and large amounts of downstream network bandwidth at the same time. In this paper, we present a foveated video streaming system for cloud gaming. The system adapts video stream quality by adjusting the encoding parameters on the fly to match the player's gaze position. We conduct measurements with a prototype that we developed for a cloud gaming system in conjunction with eye tracker hardware. Evaluation results suggest that such foveated streaming can reduce bandwidth requirements by even more than 50% depending on parametrization of the foveated video coding and that it is feasible from the latency perspective.