Abstract
This paper describes the participation of the MIRACLE team at the ImageCLEF Photographic Retrieval task of CLEF 2008. We succeeded in submitting 41 runs. Obtained results from text-based retrieval are better than content-based as previous experiments in the MIRACLE team campaigns [5, 6] using different software. Our main aim was to experiment with several merging approaches to fuse text-based retrieval and content-based retrieval results, and it happened that we improve the text-based baseline when applying one of the three merging algorithms, although visual results are lower than textual ones.
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References
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García-Serrano, A., Benavent, X., Granados, R., Goñi-Menoyo, J.M. (2009). Some Results Using Different Approaches to Merge Visual and Text-Based Features in CLEF’08 Photo Collection. 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_69
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DOI: https://doi.org/10.1007/978-3-642-04447-2_69
Publisher Name: Springer, Berlin, Heidelberg
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