Abstract
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.
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References
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El Demerdash, O., Kosseim, L., Bergler, S. (2009). Image Retrieval by Inter-media Fusion and Pseudo-relevance Feedback. In: Peters, C., et al. Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04447-2_75
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DOI: https://doi.org/10.1007/978-3-642-04447-2_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04446-5
Online ISBN: 978-3-642-04447-2
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