Placing Flickr Photos on a Map

Pavel Serdyukov, Vanessa Murdock, Roelof van Zwol

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

239 Citations (Scopus)

Abstract

In this paper we investigate generic methods for placing photos uploaded to Flickr on the World map. As primary input for our methods we use the textual annotations provided by the users to predict the single most probable location where the image was taken. Central to our approach is a language model based entirely on the annotations provided by users. We define extensions to improve over the language model using tag-based smoothing and cell-based smoothing, and leveraging spatial ambiguity. Further we demonstrate how to incorporate GeoNames, a large external database of locations. For varying levels of granularity, we are able to place images on a map with at least twice the precision of the state-of-the-art reported in the literature.
Original languageUndefined
Title of host publicationProceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
PublisherAssociation for Computing Machinery (ACM)
Pages484-491
Number of pages8
ISBN (Print)978-1-60558-483-6
DOIs
Publication statusPublished - 2009
Event32nd Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 - Boston, United States
Duration: 19 Jul 200923 Jul 2009
Conference number: 32

Publication series

Name
PublisherACM

Conference

Conference32nd Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009
Abbreviated titleSIGIR
CountryUnited States
CityBoston
Period19/07/0923/07/09

Keywords

  • IR-69904
  • METIS-265278
  • Measurement
  • EC Grant Agreement nr.: FP7/231507
  • Experimentation
  • Performance
  • EWI-17418
  • Algorithms

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