Abstract
This paper describes our work at the CLEF 2008 WikipediaMM Task. We study the use of image name in a context-based image retrieval approach. This factor is evaluated in three manners. The first one consists of using image names explicitly: we computed a similarity score between the query and the name of images using the vector space model. The second one consists of combining results obtained using the textual content of documents and results obtained using the first method. Finally, in our last approach, image names are used less explicitly: we proposed to use all the textual content of image annotations, but we increased the weight of terms in the image name. Results show that the image name can be an interesting factor to improve image retrieval results.
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Torjmen, M., Pinel-Sauvagnat, K., Boughanem, M. (2009). Evaluating the Impact of Image Names in Context-Based Image Retrieval. 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_98
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DOI: https://doi.org/10.1007/978-3-642-04447-2_98
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