Towards retina-quality VR video streaming

Author:

Hsiao Luke1,Krajancich Brooke1,Levis Philip1,Wetzstein Gordon1,Winstein Keith1

Affiliation:

1. Stanford University

Abstract

Virtual reality systems today cannot yet stream immersive, retina-quality virtual reality video over a network. One of the greatest challenges to this goal is the sheer data rates required to transmit retina-quality video frames at high resolutions and frame rates. Recent work has leveraged the decay of visual acuity in human perception in novel gaze-contingent video compression techniques. In this paper, we show that reducing the motion-to-photon latency of a system itself is a key method for improving the compression ratio of gaze-contingent compression. Our key finding is that a client and streaming server system with sub-15ms latency can achieve 5x better compression than traditional techniques while also using simpler software algorithms than previous work.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modeling the non-uniform retinal perception for viewport-dependent streaming of immersive video;Multimedia Systems;2024-08

2. E-Gaze: Gaze Estimation With Event Camera;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-07

3. Theia: Gaze-driven and Perception-aware Volumetric Content Delivery for Mixed Reality Headsets;Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services;2024-06-03

4. Synergistic Temporal-Spatial User-Aware Viewport Prediction for Optimal Adaptive 360-Degree Video Streaming;IEEE Transactions on Broadcasting;2024-06

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