Information retrieval on mixed written and spoken documents
Pages 826 - 835
Abstract
While advances have been made in structuring, indexing and retrieval of multimedia documents, we propose to study the less explored problematics of information retrieval on heterogeneous media sets composed of written and spoken documents. The coverage of modalities in retrieved results seems to be an important part of the user's information need. We show that this problematic is not satisfied by the usual bag-of-words models and we propose a method to balance modalities within the query expansion process of the probabilistic model. As experiments never seem to have been conducted in this domain, we suggest that building evaluation data for the addressed media (text and speech) as well as other media (image...) is important for the multimedia information retrieval community.
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LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE
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Published: 26 April 2004
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