Addressing Scalability for Real-time Multiuser Holo-portation: Introducing and Assessing a Multipoint Control Unit (MCU) for Volumetric Video
Sergi Fernández, Mario Montagud, David Rincón, Juame Moragues, Gianluca Cernigliaro
摘要
Scalability, interoperability, and cost efficiency are key remaining challenges to successfully providing real-time holo-portation (and Metaverse-like) services. This paper, for the first time, presents the design and integration of a Multipoint Control Unit (MCU) in a pioneering real-time holo-portation platform, supporting realistic and volumetric user representations (i.e., 3D holograms), with the aim of overcoming such challenges. The feasibility and implications of adopting such an MCU, in comparison with state-of-the-art architectural approaches, are assessed through experimentation in two different deployment setups, by iteratively increasing the number of concurrent users in shared sessions. The obtained results are promising, as it is empirically proved that the newly adopted stream multiplexing together with the novel per-client and per-frame Volumetric Video (VV) processing optimization features provided by the MCU allow increasing the number of concurrent users, while: (i) significantly reducing resources consumption metrics (e.g., CPU, GPU, bandwidth) and frame rate degradation on the client side; and (ii) keeping the end-to-end latency within acceptable limits.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- MuV2: Scaling up Multi-user Mobile Volumetric Video Streaming via Content Hybridization and SharingYu Liu, Puqi Zhou, Zejun Zhang, Anlan Zhang 等MobiCom 2024 · 被引用 16 次
- Scaling VR Video ConferencingMallesham Dasari, Edward Lu, Michael W. Farb, Nuno Pereira 等IEEE VR 2023 · 被引用 7 次
- MetaStream: Live Volumetric Content Capture, Creation, Delivery, and Rendering in Real TimeYongjie Guan, Xueyu Hou, Nan Wu, Bo Han 等MobiCom 2023 · 被引用 47 次
- FarfetchFusion: Towards Fully Mobile Live 3D Telepresence PlatformKyungjin Lee, Juheon Yi, Youngki LeeMobiCom 2023 · 被引用 30 次
- MeshReduce: Scalable and Bandwidth Efficient 3D Scene CaptureTao Jin, Mallesham Dasari, Connor Smith, Kittipat Apicharttrisorn 等IEEE VR 2024 · 被引用 20 次
