Back to articles
Articles
Volume: 31 | Article ID: art00010
Image
VideoSwarm: Analyzing Video Ensembles
Shawn Martin
Milosz A Sielicki
Jaxon Gittinger
Matthew Letter
Warren L Hunt
Patricia J Crossno
  DOI :  10.2352/ISSN.2470-1173.2019.1.VDA-685  Published Online :  January 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).

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
Views 26
Downloads 0
 DOI 10.2352/ISSN.2470-1173.2019.1.VDA-685
 articleview.views 26
 articleview.downloads 0
  Cite this article 

Shawn Martin, Milosz A Sielicki, Jaxon Gittinger, Matthew Letter, Warren L Hunt, Patricia J Crossno, "VideoSwarm: Analyzing Video Ensembles"  in 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
10.2352/ISSN.2470-1173.2019.1.VDA-685
2470-1173(20190113)2019:1L.6851;1-
ei_24701173_v2019n1_inputei_24701173_v2019n1/s10.xml
/ist/ei/2019/00002019/00000001/art00010
Articles
VideoSwarm: Analyzing Video Ensembles
MartinShawn
SielickiMilosz A
GittingerJaxon
LetterMatthew
HuntWarren L
CrossnoPatricia J
13012019
2019
1
685-1
685-12
2019
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).
Video analysisEnsembleWeb applicationDimension reduction