Geo-Location estimation of flickr images: social web based enrichment

  • Authors:
  • Claudia Hauff;Geert-Jan Houben

  • Affiliations:
  • WIS, Delft University of Technology, Delft, The Netherlands;WIS, Delft University of Technology, Delft, The Netherlands

  • Venue:
  • ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
  • Year:
  • 2012

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Abstract

Estimating the geographic location of images is a task which has received a lot of attention in recent years. Large numbers of items uploaded to Flickr do not contain GPS-based latitude/longitude coordinates, although it would be beneficial to obtain such geographic information for a wide variety of potential applications such as travelogues and visual place descriptions. While most works in this area consider an image's textual meta-data to estimate its geo-location, we consider an additional textual dimension: the image owner's traces on the social Web, in particular on the micro-blogging platform Twitter. We investigate the following question: does enriching an image's available textual meta-data with a user's tweets improve the accuracy of the geographic location estimation process? The results show that this is indeed the case; in an oracle setting, the median error in kilometres decreases by 87%, in the best automatic approach the median error decreases by 56%.