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Home Photo Retrieval: Time Matters

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Image and Video Retrieval (CIVR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2728))

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Abstract

Temporal information has been regarded as a key vehicle for sorting and grouping home photos into albums associated with events. While time-based browsing might be adequate for relatively small photo collection, query and retrieval would be very useful to find relevant photos of an event in large collection. In this paper, we propose the use of temporal events for organizing and representing home photos using structured document formalism and hence a new way to retrieve photos of an event using both image content and temporal context. We describe a hierarchical model of temporal events and the algorithm to construct it from a collection of home photos. In particular, we compute metadata of a node from the metadata of its children recursively to facilitate content-based and context-based matching between a query and an event. With semantic content representation extracted using Visual Keywords and Extended Conceptual Graphs, we demonstrate the effectiveness of photo retrieval on 2400 time-stamped heterogeneous home photos with very promising results.

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References

  1. S.-F. Chang and J. Smith, Searching for Images and Videos on the World-Wide Web, Technical Report #459-96-25, Columbia Univ., Aug. 1996.

    Google Scholar 

  2. Y. Chiaramella and P. Mulhem and F. Fourel, A Model for Multimedia Information Retrieval, Technical Report 4-96, FERMI ESPRIT BRA 8134, 1996.

    Google Scholar 

  3. Cox, M. Miller, T. Minka, T. Papathomas, and P. N. Yianilos, The Bayesian Image Retrieval System, PicHunter: Theory, Implementation and Psychophysical Experiments, IEEE Tran. on Image Processing 9(1): 20–37, 2000.

    Article  Google Scholar 

  4. N. Craswell, D. Hawking and S. Robertson, Effective site finding using link anchor information, ACM SIGIR, New Orleans, 2001.

    Google Scholar 

  5. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis, John Wiley & Sons, 1973.

    Google Scholar 

  6. M. Dunlop, Multimedia Information Retrieval, PhD thesis, Department of Computer Science, University of Glasgow, 1991.

    Google Scholar 

  7. A. Graham, H. Garcia-Molina, A. Paepcke and T. Winograd, Time as an Essence for Photo Browsing Through Personal Digital Libraries, ACM JCDL, USA, pp.326–335, 2002.

    Google Scholar 

  8. M. Lalmas, Dempster-Shafer’s Theory of Evidence Applied to Structured Documents Modelling Uncertainty, ACM SIGIR, USA, pp.110–118, 1997.

    Google Scholar 

  9. M. Marchiori, The Quest for Correct Information on the Web: Hyper Search Engines, 6 th Intl. World Wide Web Conference, California, U.S.A., pp.265–276, 1997.

    Google Scholar 

  10. P. Mulhem and J.H. Lim, Symbolic photo content-based retrieval, ACM CIKM, McLean, VA, USA, Nov. 4–9, pp. 94–101, 2002.

    Google Scholar 

  11. S. H. Myaeng, D.-H. Juang, M.-S. Kim and Z.-C. Zhoo, A Flexible Model for Retrieval of SGML Documents, ACM SIGIR, Australia, pp. 138–145, 1998.

    Google Scholar 

  12. J. Platt, Auto Album: Clustering Digital Photographs Using Probabilistic Model Merging, IEEE Workshop on Content-Based Access of Image and Video Libraries 2000, pp. 96–100, 2000.

    Google Scholar 

  13. J. C. Platt, M. Czerwinski, B. Field, PhotoTOC: Automatic Clustering for Browsing Personal Photographs, Microsoft Research Technical Report MSRTR-2002-17, (2002).

    Google Scholar 

  14. W. H. Press, B. P. Flannery, S. A. Teukolsky, W. T. Vetterling, Cubic Spline Interpolation, Sub-Chapter 3.3 of Numerical Recipes in C — The Art of Scientific Computing, Second Edition, Cambridge Universoty Press, 1993, pp. 113–117.

    Google Scholar 

  15. K. Rodden, How do people organise their photograpghs? BCS IRSG 21st Annual Colloquium on Information Retrieval Research, Glasgow, April 1999.

    Google Scholar 

  16. K. Rodden and K. Wood, How People Manage Their Digital Photos? ACM CHI, USA, 2003 (to appear).

    Google Scholar 

  17. J. Sowa. Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley Publisher, 1984.

    Google Scholar 

  18. Y. Sun, H. Zhang, L. Zhang and M. Li, MyPhotos — A System for Home Management and Processing, ACM Multimedia, France, pp. 81–83, 2002.

    Google Scholar 

  19. R. Wilkinson, Effective Retrieval of Structured Documents, ACM SIGIR 1994, Ireland, pp.311–327, 1994.

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Mulhem, P., Lim, JH. (2003). Home Photo Retrieval: Time Matters. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds) Image and Video Retrieval. CIVR 2003. Lecture Notes in Computer Science, vol 2728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45113-7_32

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  • DOI: https://doi.org/10.1007/3-540-45113-7_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40634-1

  • Online ISBN: 978-3-540-45113-6

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