# Foveated Video Streaming for Cloud Gaming

## TL;DR

This paper introduces a foveated video streaming system for cloud gaming that dynamically adjusts video quality based on gaze position, significantly reducing bandwidth while maintaining low latency.

## Contribution

It presents a novel real-time foveated streaming system that adapts encoding parameters according to gaze data, demonstrating substantial bandwidth savings.

## Key findings

- Bandwidth reduction of over 50%
- Feasibility of low-latency streaming
- Prototype validation with eye tracker hardware

## Abstract

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.