World-wide scale geotagged image dataset for automatic image annotation and reverse geotagging

Authors:
Hatem Mousselly-Sergieh;Daniel Watzinger;Bastian Huber;Mario Döller;Elöd Egyed-Zsigmond;Harald Kosch
Affiliations:
Université Lyon, Villeurbanne, France;Universität Passau, Passau, Germany;Universität Passau, Passau, Germany;FH Kufstein, Kufstein, Austria;Université Lyon, Villeurbanne, France;Universität Passau, Passau, Germany
Venue:
Proceedings of the 5th ACM Multimedia Systems Conference
Year:
2014

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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.