Proceedings of the 26th International Workshop on Mobile Computing Systems and Applications (HotMobile)

Benchmarking and Visualizing Compression Errors in Volumetric Streaming Systems

Error analysis tooling for volumetric streaming compression

K Pandya · F Laursen · J Lobo · G Melo · D Zhao · SY Tan · R LiKamWa

Rice University · Arizona State University

Skills

PythonData VisualizationWebRTCMedia ProcessingResults CommunicationExperimental AnalysisCompressionVolumetric StreamingBenchmarkingVisualization
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Abstract

This work provides a benchmarking and visualization workflow to inspect compression errors in volumetric streaming systems. It helps characterize quality degradation and communicate trade-offs for practical deployment targets.

Key Results

Year

2025

Citations

0

Index Position

4

Method Overview

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Highlights

  • Builds tooling for error visibility in volumetric media.
  • Supports fair comparisons across compression setups.
  • Presented at HotMobile 2025.

Citation

Pandya, K., Laursen, F., Lobo, J., Melo, G., Zhao, D., Tan, S.Y., and LiKamWa, R. Benchmarking and Visualizing Compression Errors in Volumetric Streaming Systems. HotMobile, 2025.

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