Paper Info
Title
Folkioneer: Efficient Browsing of Community Geotagged Images on a Worldwide Scale
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.
Year
DOI
Venue
2014
10.1007/978-3-319-04117-9_36
MMM
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
7
6
Name
Order
Citations
PageRank
Hatem Mousselly Sergieh1749.20
Daniel Watzinger2110.93
Bastian Huber3110.93
Mario Döller413018.38
Elöd Egyed-zsigmond58716.64
Harald Kosch6775116.64