Spatiotemporal helixes for event modeling

URI	http://purl.tuc.gr/dl/dias/DBA5F2BC-EF73-4A50-AF35-7D31D6CAB697	-
Identifier	http://dl.acm.org/citation.cfm?id=1123179&dl=ACM&coll=DL&CFID=725185183&CFTOKEN=65837470	-
Language	en	-
Title	Spatiotemporal helixes for event modeling	el
Creator	Partsinevelos Panagiotis	en
Creator	Παρτσινεβελος Παναγιωτης	el
Creator	Anthony Stefanidis	en
Creator	Peggy Agouris	en
Publisher	Digital Government Society of North America	en
Content Summary	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.	en
Type of Item	Περίληψη Δημοσίευσης σε Συνέδριο	el
Type of Item	Conference Paper Abstract	en
License	http://creativecommons.org/licenses/by/4.0/	en
Date of Item	2015-10-28	-
Date of Publication	2002	-
Bibliographic Citation	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	en

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