Το έργο με τίτλο Spatiotemporal helixes for event modeling από τον/τους δημιουργό/ούς Partsinevelos Panagiotis, Anthony Stefanidis, Peggy Agouris διατίθεται με την άδεια Creative Commons Αναφορά Δημιουργού 4.0 Διεθνές
Βιβλιογραφική Αναφορά
A. Stefanidis, P. Agouris, P. Partsinevelos, (2002). Spatiotemporal Helixes for Event Modeling. Presented at National Conference on Digital Government Research. [Online]. Available: http://dl.acm.org/citation.cfm id=1123179&dl=ACM&coll=DL&CFID=725185183&CFTOKEN=65837470
This paper defines a framework for the spatio-temporal analysis of motion imagery (MI) datasets depicting two-dimensional phenomena evolving in time. More specifically, we introduce the concept of a spatiotemporal helix as a concise representation of spatiotemporal events, modeling their path in space and the variations of their outline. We also present in some detail the automated algorithms developed to support the automated generation of spatiotemporal helixes and discuss their comparison to support spatiotemporal analysis.