TY - GEN
T1 - Mobile-Edge Cooperative Multi-User 360° Video Computing and Streaming
AU - Chakareski, Jacob
AU - Mastronarde, Nicholas
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - We investigate a novel communications system that integrates scalable multi-layer 360° video tiling, viewport-adaptive rate-distortion optimal resource allocation, and VR-centric edge computing and caching, to enable future high-quality untethered VR streaming. Our system comprises a collection of 5G small cells that can pool their communication, computing, and storage resources to collectively deliver scalable 360° video content to mobile VR clients at much higher quality. Our major contributions are rigorous design of multi-layer 360° tiling and related models of statistical user navigation, and analysis and optimization of edge-based multi-user VR streaming that integrates viewport adaptation and server cooperation. We also explore the possibility of network coded data operation and its implications for the analysis, optimization, and system performance we pursue here. We demonstrate considerable gains in delivered immersion fidelity, featuring much higher 360° viewport peak signal to noise ratio (PSNR) and VR video frame rates and spatial resolutions.
AB - We investigate a novel communications system that integrates scalable multi-layer 360° video tiling, viewport-adaptive rate-distortion optimal resource allocation, and VR-centric edge computing and caching, to enable future high-quality untethered VR streaming. Our system comprises a collection of 5G small cells that can pool their communication, computing, and storage resources to collectively deliver scalable 360° video content to mobile VR clients at much higher quality. Our major contributions are rigorous design of multi-layer 360° tiling and related models of statistical user navigation, and analysis and optimization of edge-based multi-user VR streaming that integrates viewport adaptation and server cooperation. We also explore the possibility of network coded data operation and its implications for the analysis, optimization, and system performance we pursue here. We demonstrate considerable gains in delivered immersion fidelity, featuring much higher 360° viewport peak signal to noise ratio (PSNR) and VR video frame rates and spatial resolutions.
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U2 - 10.1109/MMSP48831.2020.9287148
DO - 10.1109/MMSP48831.2020.9287148
M3 - Conference contribution
AN - SCOPUS:85099220903
T3 - IEEE 22nd International Workshop on Multimedia Signal Processing, MMSP 2020
BT - IEEE 22nd International Workshop on Multimedia Signal Processing, MMSP 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020
Y2 - 21 September 2020 through 24 September 2020
ER -