Multi-sensor capture and network processing for virtual reality conferencing
| Autor: | Omar Aziz Niamut, Karim El Assal, Sylvie Dijkstra-Soudarissanane, Rick Hindriks, Frank B. ter Haar, Simon Gunkel, Jan Willem Kleinrouweler |
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| Rok vydání: | 2019 |
| Předmět: |
Multimedia
Computer science business.industry Control unit 020206 networking & telecommunications Cloud computing 02 engineering and technology Video processing telepresence VR social VR videoconferencing Virtual reality computer.software_genre Rendering (computer graphics) Videoconferencing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Visual communication The Internet business computer |
| Zdroj: | MMSys Proceedings of the 10th ACM Multimedia Systems Conference |
| DOI: | 10.1145/3304109.3323838 |
| Popis: | Recent developments in key technologies like 5G, Augmented and Virtual Reality (VR) and Tactile Internet result into new possibilities for communication. Particularly, these key digital technologies can enable remote communication, collaboration and participation in remote experiences. In this demo, we work towards 6-DoF photorealistic shared experiences by introducing a multi-view multisensor capture end-to-end system. Our proposed system acts as a baseline end-to-end system for capture, transmission and rendering of volumetric video of user representations. To handle multi-view video processing in a scalable way, we introduce a Multi-point Control Unit (MCU) to shift processing from end devices into the cloud. MCUs are commonly used to bridge videoconferencing connections, and we design and deploy a VR-ready MCU to reduce both upload bandwidth and end-device processing requirements. In our demo, we focus on a remote meeting use case where multiple people can sit around a table to communicate in a shared VR environment |
| Databáze: | OpenAIRE |
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