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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
El Demerdash, O., Kosseim, L., & Bergler, S. (2009). Image retrieval by inter-media fusion and pseudo-relevance feedback. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5706 LNCS, pp. 605–611). https://doi.org/10.1007/978-3-642-04447-2_75
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