Pathak, Rishabh, Simiscuka, Anderson Augusto ORCID: 0000-0002-0851-2452 and Muntean, Gabriel-Miro ORCID: 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) |
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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 Initiatives 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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