MIRACLE Team Report for ImageCLEF IR in CLEF 2006.
José Luís Martínez-Fernández, Julio Villena, Ana M. García-Serrano, Paloma Martı́nez · CLEF (Working Notes) · 2006
The hypothesis which this paper tries to validate is that text based image retrieval could be improved by the use of semantic information, by means of an expansion algorithm and a module specifically designed to exclude common words and negated words from queries. The expansion algorithm applies specification marks to disambiguate words making use of WordNet [13]. An implementation of this algorithm has been developed for these experiments. On the other hand, the module in charge of removing common words and detecting negated words has also been specifically developed for this work. However, after an initial evaluation, none of these modules led to an improvement in the retrieval quality compared to the baseline experiment, which consists on the indexing of nouns present in image captions, without no further preprocessing.