Folkioneer: Efficient Browsing of Community Geotagged Images on a Worldwide Scale
- 1.7k Downloads
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.
Unable to display preview. Download preview PDF.
- 5.Grygorash, O., Zhou, Y., Jorgensen, Z.: Minimum spanning tree based clustering algorithms. In: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006, pp. 73–81. IEEE Computer Society, Washington, DC (2006)Google Scholar