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MediAssist: Using Content-Based Analysis and Context to Manage Personal Photo Collections

  • Neil O’Hare
  • Hyowon Lee
  • Saman Cooray
  • Cathal Gurrin
  • Gareth J. F. Jones
  • Jovanka Malobabic
  • Noel E. O’Connor
  • Alan F. Smeaton
  • Bartlomiej Uscilowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4071)

Abstract

We present work which organises personal digital photo collections based on contextual information, such as time and location, combined with content-based analysis such as face detection and other feature detectors. The MediAssist demonstration system illustrates the results of our research into digital photo management, showing how a combination of automatically extracted context and content-based information, together with user annotation, facilitates efficient searching of personal photo collections.

Keywords

Digital Library Face Detection Photo Collection Photo Management Demonstrator System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Neil O’Hare
    • 1
  • Hyowon Lee
    • 1
  • Saman Cooray
    • 1
  • Cathal Gurrin
    • 1
  • Gareth J. F. Jones
    • 1
  • Jovanka Malobabic
    • 1
  • Noel E. O’Connor
    • 1
    • 2
  • Alan F. Smeaton
    • 1
    • 2
  • Bartlomiej Uscilowski
    • 1
  1. 1.Centre For Digital Video ProcessingDublin City UniversityIreland
  2. 2.Adaptive Information ClusterDublin City UniversityIreland

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