@article {851,
	title = {Exploring Cinema Databases using multi-dimensional Image Measures},
	journal = {LEVIA 2019},
	year = {2019},
	abstract = {Exa-scale simulations can be hard to analyze because it is nearly impossible to store all computed time-steps and other parameters. The
Cinema Database provides a storage-saving solution, that captures images of each simulation time-step from a variety of camera angles.
Still, the resulting number of images can be overwhelming and it is hard to find interesting images and features for further analysis. We
present a zoom based approach where users can utilize arbitrary image measures to explore interesting images and further analyze their
behaviour in detail. We showed the effectiveness of our approach by
providing two real world Cinema datasets.},
	author = {Maack, Robin and Rogers, David and Hagen, Hans and Scheuermann, Gerik}
}
