A Methodology for Supporting Collaborative Exploratory Analysis of Massive Data Sets in Tele-Immersive Environments

  • Authors:
  • Jason Leigh;Andrew E. Johnson;Thomas A. DeFanti;Stuart Bailey;Robert Grossman

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
  • Year:
  • 1999

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Abstract

This paper proposes a methodology for employing collaborative, immersive virtual environments as a high-end visualization interface for massive data-sets. The methodology employs feature detection, partitioning, summarization and decimation to significantly cull massive data-sets. These reduced data-sets are then distributed to the remote CAVEs, ImmersaDesks and desktop workstations for viewing. The paper also discusses novel techniques for collaborative visualization and meta-data creation.