[Viper :: Machine Learning, Data Mining and Information Retrieval]

A framework for benchmarking in visual information retrieval

Bibtex entry :

@inproceedings { VG:IJMTA03,
    author = { Henning M{\"u}ller and Wolfgang M{\"u}ller and St{\'e}phane Marchand-Maillet and David McG. Squire and Thierry Pun },
    title = { A framework for benchmarking in visual information retrieval },
    booktitle = { Int. Journal on Multimedia Tools and Applications (Kluwer), SpecialIssue on Multimedia Information Retrieval },
    pages = { 55-73 },
    year = { 2003 },
    volume = { 21 },
    number = { 2 },
    url = { http://vision.unige.ch/publications/postscript/2003/ },
    owner = { steph },
    timestamp = { 2008.05.04 },
    url1 = { http://vision.unige.ch/publications/postscript/2003/ },
    vgclass = { refpap },
    vgproject = { viper },
}

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