Generating summaries for large collections of geo-referenced photographs

  • Authors:
  • Alexander Jaffe;Mor Naaman;Tamir Tassa;Marc Davis

  • Affiliations:
  • Yahoo! Research Berkeley, Berkeley, CA;Yahoo! Research Berkeley, Berkeley, CA;The Open University of Israel, Ra'anana, Israel;Yahoo! Research Berkeley, Berkeley, CA and University of California, Berkeley, Berkeley, CA

  • Venue:
  • Proceedings of the 15th international conference on World Wide Web
  • Year:
  • 2006

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Abstract

We describe a framework for automatically selecting a summary set of photographs from a large collection of geo-referenced photos. The summary algorithm is based on spatial patterns in photo sets, but can be expanded to support social, temporal, as well as textual-topical factors of the photo set. The summary set can be biased by the user, the content of the user's query, and the context in which the query is made. An initial evaluation on a set of geo-referenced photos shows that our algorithm performs well, producing results that are highly rated by users.