UC Santa Barbara

This document introduces a novel theory and technique called Spatiotemporal Granulation. Through the use of spatially encoded signals, the algorithm segments spatial and temporal information, producing grains that are localized in both space and time. Well-known transformations that are derived from classical granulation, as well as new manipulations that arise are discussed, and outlined.

As a means to reassemble the grains into a new configuration, we explore how granulation parameters acquire a different context, and introduce new methods for control. We present findings and limitations of this new technique, and outline some potential creative and analytical uses. The viability of Spatiotemporal Granulation is demonstrated through a software implementation titled Angkasa.