Geo-Location Estimation of Flickr Images: Social Web Based Enrichment

  • Claudia Hauff
  • Geert-Jan Houben
Conference paper

DOI: 10.1007/978-3-642-28997-2_8

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7224)
Cite this paper as:
Hauff C., Houben GJ. (2012) Geo-Location Estimation of Flickr Images: Social Web Based Enrichment. In: Baeza-Yates R. et al. (eds) Advances in Information Retrieval. ECIR 2012. Lecture Notes in Computer Science, vol 7224. Springer, Berlin, Heidelberg

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%.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Claudia Hauff
    • 1
  • Geert-Jan Houben
    • 1
  1. 1.WISDelft University of TechnologyDelftThe Netherlands

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