PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods

Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Chandan K. Reddy, Barry L. Drake, Haesun Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

A main bottleneck in integrating computational methods with visual analytics is their significant computational cost, which hinders real-time interactive visualization with them. To solve this, we present PIVE (Per-Iteration Visualization Environment), which visualizes intermediate results from algorithm iterations, thus allowing users to efficiently perform multiple interactions in real time.

Original languageEnglish
Title of host publication2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings
EditorsChris North, Min Chen, David Ebert
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-242
Number of pages2
ISBN (Electronic)9781479962273
DOIs
Publication statusPublished - 2015 Feb 13
Externally publishedYes
Event2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Paris, France
Duration: 2014 Oct 92014 Oct 14

Publication series

Name2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings

Conference

Conference2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014
CountryFrance
CityParis
Period14/10/914/10/14

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Keywords

  • clustering
  • dimension reduction
  • large-scale visualization
  • multithreading
  • Real-time interaction
  • visual analytics

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Choo, J., Lee, C., Kim, H., Lee, H., Reddy, C. K., Drake, B. L., & Park, H. (2015). PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods. In C. North, M. Chen, & D. Ebert (Eds.), 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings (pp. 241-242). [7042510] (2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VAST.2014.7042510