DEVA: Un modèle d'annotation flexible pour les collections de documents visuels

Bibtex entry :

@mastersthesis { VG:Jelmini02,
    author = { Carlo Jelmini },
    title = { DEVA: Un modèle d'annotation flexible pour les collections de documents visuels },
    school = { Viper Group on Information Retrieval, CS Dept, University of Geneva },
    year = { 2002 },
    month = { septembre },
    howpublished = { diploma thesis, University of Geneva },
    vgclass = { diploma },
    vgproject = { unspecified },
}
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Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion