PhotoStand: a map query interface for a database of news photos

  • Authors:

  • Hanan Samet;Marco D. Adelfio;Brendan C. Fruin;Michael D. Lieberman;Jagan Sankaranarayanan

  • Affiliations:

  • Center for Automation Research, Institute for Advanced Studies, Department of Computer Science, University of Maryland, College Park, MD;Center for Automation Research, Institute for Advanced Studies, Department of Computer Science, University of Maryland, College Park, MD;Center for Automation Research, Institute for Advanced Studies, Department of Computer Science, University of Maryland, College Park, MD;Center for Automation Research, Institute for Advanced Studies, Department of Computer Science, University of Maryland, College Park, MD;Center for Automation Research, Institute for Advanced Studies, Department of Computer Science, University of Maryland, College Park, MD

  • Venue:
  • Proceedings of the VLDB Endowment
  • Year:
  • 2013

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Abstract

PhotoStand enables the use of a map query interface to retrieve news photos associated with news articles that are in turn associated with the principal locations that they mention collected as a result of monitoring the output of over 10,000 RSS news feeds, made available within minutes of publication, and stored in a PostgreSQL database. The news photos are ranked according to their relevance to the clusters of news articles associated with locations at which they are displayed. This work differs from traditional work in this field as the associated locations and topics (by virtue of the cluster with which the articles containing the news photos are associated) are generated automatically without any human intervention such as tagging, and that photos are retrieved by location instead of just by keyword as is the case for many existing systems. In addition, the clusters provide a filtering step for detecting near-duplicate news photos.