A Methodology for Supporting Collaborative Exploratory Analysis of Massive Data Sets in Tele-Immersive Environments
August 3rd, 1999
Categories: Applications, Data Mining, Networking, Tele-Immersion, Visualization, VR
Authors
Leigh, J., Johnson, A., DeFanti, T., Bailey, S., Grossman, R.About
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.
Resources
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, August 3rd, 1999.