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Dissecting Latency in 360° Video Camera Sensing Systems.

Zhisheng Yan1, Jun Yi2

  • 1Department of Information Sciences and Technology, School of Computing, George Mason University, Fairfax, VA 22030, USA.

Sensors (Basel, Switzerland)
|August 26, 2022
PubMed
Summary
This summary is machine-generated.

Understanding task-level time consumption in 360° video camera sensing is crucial for improving viewing experience. Key delays stem from CPU-GPU transfer and server initialization, not video stitching.

Keywords:
360° video camera sensinglatencymeasurement studywireless multimedia sensor networks

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Area of Science:

  • Computer Vision
  • Multimedia Systems
  • Performance Analysis

Background:

  • 360° video camera sensing offers immersive experiences but faces challenges with massive data, impacting delay and frame rates.
  • Existing studies lack detailed analysis of task-level latency within the 360° video system pipeline.

Purpose of the Study:

  • To conduct the first in-depth measurement study of task-level time consumption in 360° video camera sensing.
  • To identify the relationship between system delays and the time consumed by individual computing tasks.
  • To provide insights for improving the performance and viewing experience of 360° video systems.

Main Methods:

  • Developed an open research prototype, Zeus, to measure task-level time consumption across various scenarios.
  • Analyzed the breakdown of latency across the system's computing tasks.
  • Compared the prototype's performance with a commercial 360° video system.

Main Results:

  • Identified camera CPU-GPU transfer and server initialization as critical factors affecting delay metrics.
  • Demonstrated that 360° video stitching has a negligible impact on overall delay.
  • Validated the representativeness of findings through comparison with a commercial system.

Conclusions:

  • Task-level latency analysis is essential for optimizing 360° video camera sensing systems.
  • Focusing optimization efforts on CPU-GPU transfer and server initialization can significantly improve performance.
  • The study provides a foundation for enhancing the viewing experience in immersive video technologies.