{Reference Type}: Journal Article
{Title}: 4D street view: a video-based visualization method.
{Author}: Kageyama A;Sakamoto N;
{Journal}: PeerJ Comput Sci
{Volume}: 6
{Issue}: 0
{Year}: 2020
{Factor}: 2.411
{DOI}: 10.7717/peerj-cs.305
{Abstract}: We propose a new visualization method for massive supercomputer simulations. The key idea is to scatter multiple omnidirectional cameras to record the simulation via in situ visualization. After the simulations are complete, researchers can interactively explore the data collection of the recorded videos by navigating along a path in four-dimensional spacetime. We demonstrate the feasibility of this method by applying it to three different fluid and magnetohydrodynamics simulations using up to 1,000 omnidirectional cameras.