Efficient summarization of spatiotemporal events

Abstract

Raster datasets at discrete temporal instances capture a variety of spatiotemporal phenomena. These phenomena and the respective datasets that capture them may span various spatial and temporal scales, like a car's trajectory as it is captured by various cameras at video rates, or the long-term erosion of a river's edge captured by an annual series of aerial imagery.