@inproceedings{6ecbd07e40544f9685504c1778ddd637,
title = "Demo: Real-Time WebXR Edge-based Object Detection for AR",
abstract = "Web-based extended reality (WebXR) can enable lightweight, easy-to-access, and cross-platform augmented reality (AR) experiences. Context awareness is one key feature of AR. Supporting this in browser-based WebXR applications is challenging as typical object detection algorithms are too computationally demanding to be run in-browser, leading to slow response times and decreased battery life. In this demo, we show a WebXR AR application that uses a technique of WebRTC-based video streaming to obtain a usable video stream on an edge server to perform object detection.",
keywords = "augmented reality, edge computing, webxr",
author = "Jacky Cao and Lam, {Kit Yung} and Lee, {Lik Hang}",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author(s).; 21st Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2023 ; Conference date: 18-06-2023 Through 22-06-2023",
year = "2023",
month = jun,
doi = "10.1145/3581791.3597286",
language = "English",
series = "MobiSys 2023 - Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services",
publisher = "Association for Computing Machinery, Inc",
pages = "590--591",
booktitle = "MobiSys 2023 - Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services",
}