PC-MCU: Point Cloud Multipoint Control Unit for Multi-user Holoconferencing Systems

被引:12
作者
Cernigliaro, Gianluca [1 ]
Martos, Marc [1 ]
Montagud, Mario [1 ]
Ansari, Amir [1 ]
Fernandez, Sergi [1 ]
机构
[1] I2CAT Fdn, Barcelona, Spain
来源
NOSSDAV '20: PROCEEDINGS OF THE 2020 WORKSHOP ON NETWORK AND OPERATING SYSTEM SUPPORT FOR DIGITAL AUDIO AND VIDEO | 2020年
关键词
VR; AR; XR; Point Clouds; volumetric video; holoportation; holoconferencing; MCU; Social VR;
D O I
10.1145/3386290.3396936
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces the Point Cloud Multipoint Control Unit (PC-MCU): a key component for multi-user holoconferencing systems, where remote participants are represented as Point Clouds. The presented solution redefines the idea of MCU, broadly used to optimize connections and communications between users in traditional videoconferencing, and introduces a set of key features for the optimization of holoconferencing services where multiple users can be remotely connected. The PC-MCU is a virtualized cloud-based component, that aims at reducing the end-user client computational resources and bandwidth usage, providing the following key features: fusion of volumetric videos, Level of Detail (LoD) adjustment and non visible data removal. The results obtained for a scenario with two remote users, show how the introduction of the PC-MCU provides significant benefits in terms of computational resources and bandwidth savings, thus alleviating the requirements at the client side in holoconferencing services when compared to a baseline condition without using it. These improvements open the door to further research on this area to enable scalable and adaptive holoconferencing services using lightweight devices.
引用
收藏
页码:47 / 53
页数:7
相关论文
共 19 条
[1]  
[Anonymous], 2012, Level of Detail for 3D Graphics
[2]   Peer-to-peer multipoint videoconferencing on the Internet [J].
Civanlar, MR ;
Özkasap, O ;
Çelebi, T .
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2005, 20 (08) :743-754
[3]  
dEon E., 2017, ISO/ IEC JTC1/ SC29 JointWG11/ WG1 (MPEG/ JPEG) input document WG11M40059 / WG1M74006, 7, 8
[4]   Multi-Sensor Capture and Network Processing for Virtual Reality Conferencing [J].
Dijkstra-Soudarissanane, Sylvie ;
El Assal, Karim ;
Gunkel, Simon ;
ter Haar, Frank ;
Hindriks, Rick ;
Kleinrouweler, Jan Willem ;
Niamut, Omar .
PROCEEDINGS OF THE 10TH ACM MULTIMEDIA SYSTEMS CONFERENCE (ACM MMSYS'19), 2019, :316-319
[5]  
Gai Silvano., 2010, CISCO UNIFIED COMPUT
[6]  
Global System for Mobile Communications Association, CLOUD AR VR WHIT
[7]   Dynamic Adaptive Point Cloud Streaming [J].
Hosseini, Mohammad ;
Timmerer, Christian .
PROCEEDINGS OF THE 23TH ACM WORKSHOP ON PACKET VIDEO (PV'18), 2018, :25-30
[8]  
Li JL, 2007, 2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5, P84
[9]   Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video [J].
Mekuria, Rufael ;
Blom, Kees ;
Cesar, Pablo .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 27 (04) :828-842
[10]  
Montagud M., 2020, P 11 ACM MULT SYST C