An Adaptive Resolution Scheme for Performance Enhancement of a Web-based Multi-User VR Application

Abstract

Over the last few years, several frameworks have been introduced to help developers build virtual reality (VR) experiences for the web. One such open-source web framework is the A-Frame framework, which is built on top of WebXR and Three.js. A-Frame can be used to create 3D scenes that can be rendered using compatible browsers such as Chrome and Firefox. The performance of web-based VR applications, however, can be affected due to the limitations of the CPU and GPU, especially in multi-user applications. In this paper, an A-Frame-based multiuser VR application is developed and the performance is analyzed under different scenarios, demonstrating how an increase in the number of users affects metrics related to VR quality of experience (QoE). Then, an Adaptive Resolution Scheme for VR (ARS-VR) is proposed, which improves the VR performance in terms of frame rate and frame latency on remote devices with limited processing and display features.

OmniScent: An Omnidirectional Olfaction-Enhanced Virtual Reality 360° Video Delivery Solution for Increasing Viewer Quality of Experience

“…WebXR technology is a key enabler for the streaming of 360 • content on PCs over Web browsers and also on VR headsets [31], [32], [33]. It is able to render 3D scenes with motion and orientation tracking.…”