Impact of CPU load on video conferencing quality

Sorokin, Roman; Rougier, Jean-Louis; Pastrana-Vidal, Ricardo R.; Tranquart, Nicolas

doi:10.1109/iptcomm.2017.8169753

Cited by 2 publications

(1 citation statement)

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“…An MCU can alleviate bottlenecks in bandwidth and performance, e.g. by reducing the CPU load on client devices [9]. While [4] proposes a novel telepresence platform for immersive video conferencing based on a distributed architecture with a stream forwarding approach, the usage of an MCU for shared VR has not yet been explored.…”

Section: Related Workmentioning

confidence: 99%

Multi-sensor capture and network processing for virtual reality conferencing

Dijkstra-Soudarissanane¹,

Assal²,

Gunkel³

et al. 2019

Proceedings of the 10th ACM Multimedia Systems Conference

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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. CCS CONCEPTS • Information systems → Multimedia information systems; • Human-centered computing → Virtual reality; • Networks → Cloud computing.

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Section: Related Workmentioning

confidence: 99%