Mousselly-Sergieh, Hatem ; Watzinger, Daniel ; Huber, Bastian ; Döller, Mario ; Egyed-Zsigmond, Elöd ; Kosch, Harald (2014)
Folkioneer: Efficient Browsing of Community Geotagged Images on a Worldwide Scale.
Dublin, Ireland
doi: 10.1007/978-3-319-04117-9_36
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, we introduce Folkioneer, a novel approach for browsing and exploring community-contributed geotagged images. Initially, images are clustered based on the embedded geographical information by applying an enhanced version of the CURE algorithm, and characteristic geodesic shapes are derived using Delaunay triangulation. Next, images of each geographical cluster are analyzed and grouped according to visual similarity using SURF and restricted homography estimation. At the same time, LDA is used to extract representative topics from the provided tags. Finally, the extracted information is visualized in an intuitive and user-friendly manner with the help of an interactive map.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2014 |
| Autor(en): | Mousselly-Sergieh, Hatem ; Watzinger, Daniel ; Huber, Bastian ; Döller, Mario ; Egyed-Zsigmond, Elöd ; Kosch, Harald |
| Art des Eintrags: | Bibliographie |
| Titel: | Folkioneer: Efficient Browsing of Community Geotagged Images on a Worldwide Scale |
| Sprache: | Englisch |
| Publikationsjahr: | 2014 |
| Verlag: | Springer International Publishing |
| Buchtitel: | MultiMedia Modeling - 20th Anniversary International Conference, MMM 2014, Dublin, Ireland, January 6-10, 2014, Proceedings, Part II |
| Veranstaltungsort: | Dublin, Ireland |
| DOI: | 10.1007/978-3-319-04117-9_36 |
| URL / URN: | https://link.springer.com/chapter/10.1007%2F978-3-319-04117-... |
| Kurzbeschreibung (Abstract): | In this paper, we introduce Folkioneer, a novel approach for browsing and exploring community-contributed geotagged images. Initially, images are clustered based on the embedded geographical information by applying an enhanced version of the CURE algorithm, and characteristic geodesic shapes are derived using Delaunay triangulation. Next, images of each geographical cluster are analyzed and grouped according to visual similarity using SURF and restricted homography estimation. At the same time, LDA is used to extract representative topics from the provided tags. Finally, the extracted information is visualized in an intuitive and user-friendly manner with the help of an interactive map. |
| ID-Nummer: | TUD-CS-2014-1074 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 19 Sep 2018 14:18 |
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