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Browsing Personal Images Using Episodic Memory (Time + Location)

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Advances in Information Retrieval (ECIR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3936))

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Abstract

In this paper we consider episodic memory for system design in image retrieval. Time and location are the main factors in episodic memory, and these types of data were combined for image event clustering. We conducted a user studies to compare five image browsing systems using searching time and user satisfaction as criteria for success. Our results showed that the browser which clusters images based on time and location data combined was significantly better than four other more standard browsers. This suggests that episodic memory is potentially useful for improving personal image management.

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Author information

Authors and Affiliations

  1. School of Computing and Technology, University of Sunderland, UK

    Chufeng Chen, Michael Oakes & John Tait

Authors
  1. Chufeng Chen
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  2. Michael Oakes
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  3. John Tait
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Editor information

Editors and Affiliations

  1. Queen Mary, University of London, London, UK

    Mounia Lalmas

  2. Department of Information Science, City University, Northampton Square, EC1V OHB, London, UK

    Andy MacFarlane

  3. Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  4. Queen Mary University of London, UK

    Anastasios Tombros

  5. CWI, Amsterdam, The Netherlands

    Theodora Tsikrika

  6. Department of Computing, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK

    Alexei Yavlinsky

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© 2006 Springer-Verlag Berlin Heidelberg

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Chen, C., Oakes, M., Tait, J. (2006). Browsing Personal Images Using Episodic Memory (Time + Location). In: Lalmas, M., MacFarlane, A., Rüger, S., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11735106_32

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  • DOI: https://doi.org/10.1007/11735106_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33347-0

  • Online ISBN: 978-3-540-33348-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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