Mousselly-Sergieh, Hatem ; Watzinger, Daniel ; Huber, Bastian ; Döller, Mario ; Egyed-Zsigmond, Elöd ; Kosch, Harald (2014)
World-wide Scale Geotagged Image Dataset for Automatic Image Annotation and Reverse Geotagging.
Singapore, Singapore
doi: 10.1145/2557642.2563673
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, a dataset of geotagged photos on a world-wide scale is presented. The dataset contains a sample of more than 14 million geotagged photos crawled from Flickr with the corresponding metadata. To guarantee the spatial representativeness of the dataset, a crawling approach based on the small-world phenomena and the Flickr friendship's graph is applied. Furthermore, the noisiness of user-provided tags is reduced through an automatic tag cleaning approach. To enable efficient retrieval, photos in the dataset are indexed based on their location information using quad-tree data structure. The dataset can assists different applications, especially, search-based automatic image annotation and reverse geotagging.
| 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: | World-wide Scale Geotagged Image Dataset for Automatic Image Annotation and Reverse Geotagging |
| Sprache: | Englisch |
| Publikationsjahr: | 2014 |
| Verlag: | ACM |
| Buchtitel: | Proceedings of the 5th ACM Multimedia Systems Conference |
| Reihe: | MMSys '14 |
| Veranstaltungsort: | Singapore, Singapore |
| DOI: | 10.1145/2557642.2563673 |
| URL / URN: | https://dl.acm.org/citation.cfm?id=2563673&dl=ACM&coll=DL |
| Kurzbeschreibung (Abstract): | In this paper, a dataset of geotagged photos on a world-wide scale is presented. The dataset contains a sample of more than 14 million geotagged photos crawled from Flickr with the corresponding metadata. To guarantee the spatial representativeness of the dataset, a crawling approach based on the small-world phenomena and the Flickr friendship's graph is applied. Furthermore, the noisiness of user-provided tags is reduced through an automatic tag cleaning approach. To enable efficient retrieval, photos in the dataset are indexed based on their location information using quad-tree data structure. The dataset can assists different applications, especially, search-based automatic image annotation and reverse geotagging. |
| Freie Schlagworte: | Flickr, geotagging, image dataset, quad-tree |
| ID-Nummer: | TUD-CS-2014-1077 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 19 Sep 2018 14:25 |
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