VideoSwarm: Analyzing Video Ensembles
Shawn Martin, Milosz Aleksander Sielicki, Jaxon M. Gittinger, Matthew Letter, Warren L. Hunt, Patricia J. Crossno · Electronic Imaging · 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).