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An adaptive resolution scheme for performance enhancement of a web-based multi-user VR application

Pathak, Rishabh, Simiscuka, Anderson Augusto orcid logoORCID: 0000-0002-0851-2452 and Muntean, Gabriel-Miro orcid logoORCID: 0000-0002-9332-4770 (2021) An adaptive resolution scheme for performance enhancement of a web-based multi-user VR application. In: IEEE International Symposium on Broadband Multimedia Systems and Broadcasting 2021, 4 - 6 Aug 2021, Chengdu, China (Online).

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 multi- user 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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:VR; WebXR; A-Frame; Three.js; frame rate; resolution; adaptation
Subjects:Computer Science > Computer networks
Engineering > Virtual reality
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: 2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). . IEEE.
Publisher:IEEE
Official URL:https://doi.org/10.1109/BMSB53066.2021.9547069
Copyright Information:© 2021 The Authors.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:EU Horizon 2020 Research and Innovation programme under Grant Agreement no. 870610 for the TRACTION project, Science Foundation Ireland (SFI) Research Centres Programme Grant Numbers SFI/12/RC/2289_P2 (Insight) and SFI/16/SP/3804 (ENABLE), European Regional Development Fund
ID Code:26055
Deposited On:04 Aug 2021 10:30 by Anderson Augusto Simiscuka . Last Modified 16 Jan 2023 16:38
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