Towards Automated Georeferencing of Flickr Photos

摘要

We explore the task of automatically assigning geographic coordinates to photos on Flickr. Using an approach based on k-medoids clustering and Naive Bayes classification, we demonstrate that the task is feasible, although high accuracy can only be expected for a portion of all photos. Based on this observation, we stress the importance of adaptive approaches that estimate locations at different granularities for different photos.