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

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

Publication: Proceedings of the 8th IEEE International Symposium on High Performance and Distributed Computing, Redundo Beach, CA, pp. 62-69

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.

Date: August 3, 1999 - August 6, 1999

Document: View PDF
Virtual Collaborative Work Session Built with CAVERNsoft - J. Leigh, EVL

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