A Regional Exploration and Recommendation System Based on Georeferenced Images

  • Chandan Kumar
  • Sebastian Barton
  • Wilko Heuten
  • Susanne Boll
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8640)

Abstract

Socially tagged images contain rich spatial information about the culture and environment that could exemplify the composition of regions and provide a useful geovisual assessment. Flickr is one of such prominent data sources capable of making sense of the geospatial world. In several spatial decision scenarios such as touring a new city, end-users are interested in the characterization and comparison of relevant geographic regions. But the current means of interfaces limit the end users on visual abstraction and comparison of relevant geographic regions. In this work we propose a system that generates the makeup of a region based on geospatial tagged images of the region. We can then use the relevant metadata to identify and compare other suitable regions which exhibit a similar fingerprint of images. The developed interface allows the user to get a good regional overview, and also to drill in and compare selected regions.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Chandan Kumar
    • 1
  • Sebastian Barton
    • 1
  • Wilko Heuten
    • 2
  • Susanne Boll
    • 1
  1. 1.University of OldenburgOldenburgGermany
  2. 2.OFFIS - Institute for Information TechnologyOldenburgGermany

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