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Data streaming in telepresence environments.

Edouard Lamboray1, Stephan Würmlin, Markus Gross

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Summary
This summary is machine-generated.

This study analyzes data transmission for collaborative virtual reality (VR) telepresence, focusing on 3D video. It details the blue-c system

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Area of Science:

  • Computer Science
  • Virtual Reality
  • Telecommunications

Background:

  • Telepresence environments require efficient data transmission for collaborative virtual reality (VR) applications.
  • Networked virtual environments involve complex data streams with distinct traffic characteristics.
  • Geometry-enhanced (3D) video presents unique challenges for real-time transmission and processing.

Purpose of the Study:

  • To analyze data transmission characteristics in telepresence VR.
  • To investigate real-time 3D video pipelines and latency.
  • To present the design and deployment of the blue-c telepresence system.

Main Methods:

  • Classification of data streams based on traffic characteristics.
  • Review of 3D video pipeline architectures and latency analysis.
  • Development and implementation of a point-based 3D video technology for the blue-c system.

Main Results:

  • Theoretical bounds for minimal system latency were derived.
  • Bandwidth issues for differential update coding of 3D video were discussed.
  • The blue-c system's communication and networking features were demonstrated.

Conclusions:

  • The blue-c system effectively handles data transmission for collaborative VR telepresence.
  • System components can be adapted to mitigate processing or networking bottlenecks.
  • Decoupling frame rates and synchronizing audio/video are critical for performance.