Back to articles
Articles
Volume: 31 | Article ID: art00010
Image
VideoSwarm: Analyzing Video Ensembles
  DOI :  10.2352/ISSN.2470-1173.2019.1.VDA-685  Published OnlineJanuary 2019
Abstract

We present VideoSwarm, a system for visualizing video ensembles generated by numerical simulations. VideoSwarm is a web application, where linked views of the ensemble each represent the data using a different level of abstraction. VideoSwarm uses multidimensional scaling to reveal relationships between a set of simulations relative to a single moment in time, and to show the evolution of video similarities over a span of time. VideoSwarm is a plug-in for Slycat, a web-based visualization framework which provides a web-server, database, and Python infrastructure. The Slycat framework provides support for managing multiple users, maintains access control, and requires only a Slycat supported commodity browser (such as Firefox, Chrome, or Safari).

Subject Areas :
Views 6
Downloads 0
 articleview.views 6
 articleview.downloads 0
  Cite this article 

Shawn Martin, Milosz A Sielicki, Jaxon Gittinger, Matthew Letter, Warren L Hunt, Patricia J Crossno, "VideoSwarm: Analyzing Video Ensemblesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Visualization and Data Analysis,  2019,  pp 685-1 - 685-12,  https://doi.org/10.2352/ISSN.2470-1173.2019.1.VDA-685

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA