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Volume: 31 | Article ID: art00010
VideoSwarm: Analyzing Video Ensembles
  DOI :  10.2352/ISSN.2470-1173.2019.1.VDA-685  Published OnlineJanuary 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).

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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,

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