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Spatiotemporal helixes for event modeling

Partsinevelos Panagiotis, Anthony Stefanidis, Peggy Agouris

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URIhttp://purl.tuc.gr/dl/dias/DBA5F2BC-EF73-4A50-AF35-7D31D6CAB697-
Identifierhttp://dl.acm.org/citation.cfm?id=1123179&dl=ACM&coll=DL&CFID=725185183&CFTOKEN=65837470-
Languageen-
TitleSpatiotemporal helixes for event modelingel
CreatorPartsinevelos Panagiotisen
CreatorΠαρτσινεβελος Παναγιωτηςel
Creator Anthony Stefanidisen
Creator Peggy Agourisen
PublisherDigital Government Society of North Americaen
Content SummaryThis 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 ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-28-
Date of Publication2002-
Bibliographic CitationA. 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=65837470en

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