Latency in Distributed Acquisition and Rendering for Telepresence Systems.

Area of Science:

• Human-Computer Interaction
• Computer Networks
• Virtual Reality

Background:

• Telepresence systems enhance long-distance communication using 3D techniques for natural interaction.
• Low latency is crucial for immersive user experiences in virtual environments.
• Understanding latency sources in distributed acquisition and rendering is key for system optimization.

Purpose of the Study:

• To analyze and model latency in distributed telepresence systems.
• To decompose system latency into identifiable sub-latencies.
• To provide a methodology for estimating and optimizing telepresence system performance.

Main Methods:

• Developed a latency model for complex telepresence dataflow networks.
• Decomposed system latency into sub-latencies for detailed analysis.
• Modified existing latency measurement techniques for prototype validation.

Main Results:

• Successfully modeled and estimated latencies within a distributed telepresence system.
• Identified specific sources contributing to overall system latency.
• Validated model estimates against real-world measurements in a prototype.

Conclusions:

• The proposed latency model effectively aids in understanding and quantifying latency in telepresence systems.
• The methodology enables developers to optimize system design and identify implementation bottlenecks.
• Enhanced knowledge of latency sources leads to improved user immersion and system performance.