WIDE-VR: An open-source prototype for web-based VR through adaptive streaming of 6DoF content and viewport prediction

This paper tackles the challenge of designing and implementing a complete, operational, and extensible web-based virtual reality (VR) system for stored six degrees-of-freedom (6DoF) content. We present a unique, open-source volumetric video streaming system, termed WIDE-VR, that leverages cutting-edge web technologies, including a WebGL-based rendering engine, Draco's real-time inbrowser decoder, and HTTP/3 over QUIC transport. We also explore various adaptive streaming and viewport prediction strategies to achieve improvements in bandwidth efficiency, reduced rebuffering, and minimized quality fluctuations. Our experimental results demonstrate the system's capabilities and potential in delivering immersive, high-quality VR experiences directly via web platforms, fostering broader accessibility and scalability for VR applications.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1145/3712676.3718334
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
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article

WIDE-VR: An open-source prototype for web-based VR through adaptive streaming of 6DoF content and viewport prediction

Abdelhak Bentaleb, May Lim, Roger Zimmermann
Image and Video Quality Assessment
article

WIDE-VR: An open-source prototype for web-based VR through adaptive streaming of 6DoF content and viewport prediction

Abdelhak Bentaleb, May Lim, Roger Zimmermann
article en

Abstract

This paper tackles the challenge of designing and implementing a complete, operational, and extensible web-based virtual reality (VR) system for stored six degrees-of-freedom (6DoF) content. We present a unique, open-source volumetric video streaming system, termed WIDE-VR, that leverages cutting-edge web technologies, including a WebGL-based rendering engine, Draco's real-time inbrowser decoder, and HTTP/3 over QUIC transport. We also explore various adaptive streaming and viewport prediction strategies to achieve improvements in bandwidth efficiency, reduced rebuffering, and minimized quality fluctuations. Our experimental results demonstrate the system's capabilities and potential in delivering immersive, high-quality VR experiences directly via web platforms, fostering broader accessibility and scalability for VR applications.

National University of Singapore (SG), Concordia University (CA)
Openalex Percentile: Top 96%
Image and Video Quality Assessment
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