Image Retrieval by Inter-media Fusion and Pseudo-relevance Feedback

  • Osama El Demerdash
  • Leila Kosseim
  • Sabine Bergler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)


This paper presents our participation at the ImageCLEF Photo 2008 task. We submitted six runs, experimenting with our own block-based visual retrieval as well as with query expansion. The results we obtained show that despite the poor performance of the visual and text retrieval components, better results can be obtained through pseudo-relevance feedback and the inter-media fusion of the results.


Image Retrieval Local Binary Pattern Query Image Relevance Feedback Query Expansion 
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 2009

Authors and Affiliations

  • Osama El Demerdash
    • 1
  • Leila Kosseim
    • 1
  • Sabine Bergler
    • 1
  1. 1.CLaC Laboratory Department of Computer Science & Software EngineeringConcordia UniversityCanada

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