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Modeling and comparing change using spatiotemporal helixes

Partsinevelos Panagiotis, Peggy Agouris, Kristin Eickhorst, Anthony Stefanidis

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URIhttp://purl.tuc.gr/dl/dias/F3D1DAE4-E7A2-46C1-B7EC-F6CA47264F7B-
Αναγνωριστικόhttps://doi.org/10.1145/956676.956688-
Γλώσσαen-
ΤίτλοςModeling and comparing change using spatiotemporal helixesen
ΔημιουργόςPartsinevelos Panagiotisen
ΔημιουργόςΠαρτσινεβελος Παναγιωτηςel
Δημιουργός Peggy Agourisen
Δημιουργός Kristin Eickhorsten
Δημιουργός Anthony Stefanidisen
ΕκδότηςAssociation for Computing Machineryen
ΠερίληψηSpatiotemporal helixes are a novel way to model spatiotemporal change. They represent both the movement of an object, as it is expressed by the trajectory of its center, and the changes of its outline. Accordingly they are highly suitable to communicate the evolution of phenomena as they are captured e.g. in sequences of imagery. In this paper we present the spatiotemporal helix model and introduce spatiotemporal similarity metrics for the comparison of helixes. These metrics allow us to compare the behavior of different objects over time, and express the degree of their similarity. To demonstrate the application of our models and metrics we present experimental results.en
ΤύποςΑφίσα σε Συνέδριοel
ΤύποςConference Posteren
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-28-
Ημερομηνία Δημοσίευσης2003-
Βιβλιογραφική ΑναφοράStefanidis A., K. Eickhorst, P. Agouris, P. Partsinevelos “Modeling and Comparing Change using Spatiotemporal Helixes”, in 11th ACM international symposium on Advances in geographic information systems, 2003 ACM-GIS, pp. 86-93, doi: 10.1145/956676.956688en

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