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

Created on August 03, 1999

1999   ·   paper   ·   papers   Applications   Data Mining   Networking   Tele-Immersion   Visualization   VR

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

Leigh, J.,Johnson, A.,DeFanti, T.,Bailey, S.,Grossman, R.

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  • Caption: Virtual Collaborative Work Session Built with CAVERNsoft
  • Credit: J. Leigh, EVL

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 datasets 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.

Citation: Leigh, J., Johnson, A., DeFanti, T., Bailey, S., Grossman, R., A Methodology for Supporting Collaborative Exploratory Analysis of Massive Data Sets in Tele-Immersive Environments, Proceedings of the 8th IEEE International Symposium on High Performance and Distributed Computing, Redundo Beach, CA, pp. 62-69, 1999-08-03.