TY - GEN
T1 - MetaStream
T2 - 29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023
AU - Guan, Yongjie
AU - Hou, Xueyu
AU - Wu, Nan
AU - Han, Bo
AU - Han, Tao
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023
Y1 - 2023
N2 - While recent work explored streaming volumetric content on-demand, there is little effort on live volumetric video streaming that bears the potential of bringing more exciting applications than its on-demand counterpart. To fill this critical gap, in this paper, we propose MetaStream, which is, to the best of our knowledge, the first practical live volumetric content capture, creation, delivery, and rendering system for immersive applications such as virtual, augmented, and mixed reality. To address the key challenge of the stringent latency requirement for processing and streaming a huge amount of 3D data, MetaStream integrates several innovations into a holistic system, including dynamic camera calibration, edge-assisted object segmentation, cross-camera redundant point removal, and foveated volumetric content rendering. We implement a prototype of MetaStream using commodity devices and extensively evaluate its performance. Our results demonstrate that MetaStream achieves low-latency live volumetric video streaming at close to 30 frames per second on WiFi networks. Compared to state-of-the-art systems, MetaStream reduces end-to-end latency by up to 31.7% while improving visual quality by up to 12.5%.
AB - While recent work explored streaming volumetric content on-demand, there is little effort on live volumetric video streaming that bears the potential of bringing more exciting applications than its on-demand counterpart. To fill this critical gap, in this paper, we propose MetaStream, which is, to the best of our knowledge, the first practical live volumetric content capture, creation, delivery, and rendering system for immersive applications such as virtual, augmented, and mixed reality. To address the key challenge of the stringent latency requirement for processing and streaming a huge amount of 3D data, MetaStream integrates several innovations into a holistic system, including dynamic camera calibration, edge-assisted object segmentation, cross-camera redundant point removal, and foveated volumetric content rendering. We implement a prototype of MetaStream using commodity devices and extensively evaluate its performance. Our results demonstrate that MetaStream achieves low-latency live volumetric video streaming at close to 30 frames per second on WiFi networks. Compared to state-of-the-art systems, MetaStream reduces end-to-end latency by up to 31.7% while improving visual quality by up to 12.5%.
KW - live volumetric video streaming
KW - multi-camera calibration
KW - point cloud synthesis
KW - volumetric content rendering
UR - http://www.scopus.com/inward/record.url?scp=85191429448&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85191429448&partnerID=8YFLogxK
U2 - 10.1145/3570361.3592530
DO - 10.1145/3570361.3592530
M3 - Conference contribution
AN - SCOPUS:85191429448
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 425
EP - 439
BT - Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2023
PB - Association for Computing Machinery
Y2 - 2 October 2023 through 6 October 2023
ER -