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Erschienen in:
2009 | OriginalPaper | Buchkapitel
XML Multimedia Retrieval: From Relevant Textual Information to Relevant Multimedia Fragments
verfasst von : Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Boughanem
Erschienen in: Advances in Information Retrieval
Verlag: Springer Berlin Heidelberg
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In this paper, we are interested in XML multimedia document retrieval, whose aim is to find relevant multimedia components (i.e. XML fragments containing another media than text) that focus on the user needs. The work described here is carried out with images, but can be extended to any other media. We propose an XML multimedia fragment retrieval approach based on two steps. In a first step, we search for relevant images and then we retrieve the best multimedia fragments corresponding to these images. Image retrieval is done using textual and structural information from ascendant, sibling and direct descendant nodes in the XML tree, while multimedia fragment retrieval is done by evaluating the score of ancestors of images retrieved in the first step. Experiments were done on the INEX 2006 and 2007 Multimedia Fragments task and show the interest of our method.