A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Lire: lucene image retrieval: an extensible java CBIR library
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Placing flickr photos on a map
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Visualizing textual travelogue with location-relevant images
Proceedings of the 2009 International Workshop on Location Based Social Networks
Automatic construction of travel itineraries using social breadcrumbs
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Using flickr geotags to predict user travel behaviour
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Combining multi-resolution evidence for georeferencing Flickr images
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Multi-modal, multi-resource methods for placing Flickr videos on the map
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Multimodal location estimation on Flickr videos
WSM '11 Proceedings of the 3rd ACM SIGMM international workshop on Social media
Placing images on the world map: a microblog-based enrichment approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Learning to rank for spatiotemporal search
Proceedings of the sixth ACM international conference on Web search and data mining
Assessment of the accuracy of GeoNames gazetteer data
Proceedings of the 7th Workshop on Geographic Information Retrieval
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Obtaining geographically tagged multimedia items from social Web platforms such as Flickr is beneficial for a variety of applications including the automatic creation of travelogues and personalized travel recommendations. In order to take advantage of the large number of photos and videos that do not contain (GPS-based) latitude/longitude coordinates, a number of approaches have been proposed to estimate the geographic location where they were taken. Such location estimation methods rely on existing geotagged multimedia items as training data. Across application and usage scenarios, it is commonly assumed that the available geotagged items contain (reasonably) accurate latitude/longitude coordinates. Here, we consider this assumption and investigate how accurate the provided location data is. We conduct a study of Flickr images and videos and find that the accuracy of the geotag information is highly dependent on the popularity of the location: images/videos taken at popular (unpopular) locations, are likely to be geotagged with a high (low) degree of accuracy with respect to the ground truth.