Indexing multimedia content for textual querying: A multimodal approach

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dc.contributor.authorAmrane, Abdesalam
dc.contributor.authorMellah, Hakima
dc.contributor.authorAmghar, Youssef
dc.contributor.authorAliradi, Rachid
dc.date.accessioned2013-05-30T07:41:24Z
dc.date.available2013-05-30T07:41:24Z
dc.date.issued2013-07
dc.description.abstractMultimedia retrieval approaches are classified into three categories: those using textual information, and those using low-level information and those that combine different information extracted from multimedia. Each approach has its advantages and disadvantages as well to improving multimedia retrieval systems. The recent works are oriented towards multimodal approaches. It is in this context that we propose an approach that combines the surrounding text with the information extracted from the visual content of multimedia and represented in the same repository in order to allow querying multimedia content based on keywords or concepts. Each word contained in queries or in description of multimedia is disambiguated by using the WordNet in order to define its semantic concept.fr_FR
dc.identifier.isrnCERIST-DSISM/RR--13-000000013--dz
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/151
dc.relation.ispartofWEBI 2013
dc.relation.ispartofseriesWEBI 2013;
dc.relation.placeAngers - Francefr_FR
dc.structureInteractions et Routage dans les Systèmes d'Informationfr_FR
dc.subjectImages classificationfr_FR
dc.subjectAutomatic annotationfr_FR
dc.subjectMultimedia retrievalfr_FR
dc.subjectQuery languagesfr_FR
dc.subjectImages classificationfr_FR
dc.subjectSVM classifierfr_FR
dc.subjectSIFT descriptorsfr_FR
dc.subjectSemantic representationfr_FR
dc.subjectMultimodal retrievalfr_FR
dc.subjectSemantic similarityfr_FR
dc.subjectTextual indexing.fr_FR
dc.titleIndexing multimedia content for textual querying: A multimodal approachfr_FR
dc.typeConference paper
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