@inproceedings{4bf065a7e1274038a5ec08e98eb3791e,
title = "Scene Graph Driven Hybrid Interactive VR Teleconferencing",
abstract = "We propose an interactive and intelligent hybrid teleconferencing system compatible with Virtual Reality devices. Our system understands meeting contexts and leverages user interactions to enhance better system configuration. Employing interactive scene graphs [11], the system extracts and transmits essential meeting context to users while relaying user interactions back to the streaming systems for user-involved adaptive streaming and foveated rendering. We demonstrate the system's real-time performance and compatibility with commercial VR devices such as the Meta Quest 3.",
keywords = "machine learning, teleconferencing system, virtual reality",
author = "Mingyuan Wu and Ruifan Ji and Haozhen Zheng and Jiaxi Li and Beitong Tian and Bo Chen and Ruixiao Zhang and Jacob Chakareski and Michael Zink and Ramesh Sitaraman and Klara Nahrstedt",
note = "Publisher Copyright: {\textcopyright} 2024 Owner/Author.; 32nd ACM International Conference on Multimedia, MM 2024 ; Conference date: 28-10-2024 Through 01-11-2024",
year = "2024",
month = oct,
day = "28",
doi = "10.1145/3664647.3684996",
language = "English (US)",
series = "MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia",
publisher = "Association for Computing Machinery, Inc",
pages = "11276--11278",
booktitle = "MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia",
}