Abstract
This paper presents the image retrieval techniques tested by the MIRACLE (Multilingual Information RetrievAl for the CLEf campaign) research group as part of the ImageCLEF 2004 initiative. Two main lines of research continuing the past year’s experiments were considered: the application of linguistic techniques to improve retrieval performance and the combination of textual and content-based image retrieval.
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Martínez-Fernández, J.L., García-Serrano, A., Villena, J., Méndez-Sáenz, V. (2005). MIRACLE Approach to ImageCLEF 2004: Merging Textual and Content-Based Image Retrieval. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_68
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DOI: https://doi.org/10.1007/11519645_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27420-9
Online ISBN: 978-3-540-32051-7
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