Abstract
In this article, we describe the FINT system, which stands for Find Images aNd Text. This system is built in the context of the VindIT project, which focuses on handling large amounts of multi-media data. The system described here iteratively searches through a multi-media database by computing distances between the data entries (images and text). From each entry, a feature vector is computed. Distances between database entries are computed using a weighted version of their corresponding feature vector and entries similar to the initial search query are selected based on these distances. Here, we will describe the system and settings that were used in the medical retrieval task of the ImageCLEF 2004 competition.
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van Zaanen, M., de Croon, G. (2005). Multi-modal Information Retrieval Using FINT. 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_71
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DOI: https://doi.org/10.1007/11519645_71
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