Hierarchical photo organization using geo-relevance

  • Authors:

  • Boris Epshtein;Eyal Ofek;Yonatan Wexler;Pusheng Zhang

  • Affiliations:

  • Microsoft Corporation, One Microsoft Way, Redmond, WA;Microsoft Corporation, One Microsoft Way, Redmond, WA;Microsoft Corporation, One Microsoft Way, Redmond, WA;Microsoft Corporation, One Microsoft Way, Redmond, WA

  • Venue:
  • Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
  • Year:
  • 2007

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Abstract

We present a novel framework for organizing large collections of images in a hierarchical way, based on scene semantics. Rather than score images directly, we use them to score the scene in order to identify typical views and important locations which we term Geo-Relevance. This is done by relating each image with its viewing frustum which can be readily computed for huge collections of images nowadays. The frustum contains much more information than only camera position that has been used so far. For example, it distinguishes between a photo of the Eiffel Tower and a photo of a garbage bin taken from the exact same place. The proposed framework enables a summarized display of the information and facilitates efficient browsing.