• DocumentCode
    3269183
  • Title

    Visual Phrases for automatic images annotation

  • Author

    Albatal, Rami ; Mulhem, Philippe ; Chiaramella, Yves

  • Author_Institution
    Lab. d´´Inf. de Grenoble, Grenoble, France
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Visual characteristics of objects of a class vary with the considered instance and the shooting conditions. In this paper we proposed a visual characterization of object parts, called "Visual Phrase", robust to these variations. A Visual Phrase is a set of regions of interest built according to predefined criteria; a topological criterion was studied in this paper. An automatic annotation method is proposed based on our definition and characterization of Visual Phrases. Experiments on VOC2009 collection is presented, we show that the late fusion of our method with a standard Bag of Visual Words approach on full images provides better results than those obtained via each approach independently.
  • Keywords
    image fusion; image retrieval; automatic image annotation; bag-of-visual words approach; topological criterion; visual phrase; Artificial intelligence; Iron; Noise measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Content-Based Multimedia Indexing (CBMI), 2010 International Workshop on
  • Conference_Location
    Grenoble
  • ISSN
    1949-3983
  • Print_ISBN
    978-1-4244-8028-9
  • Electronic_ISBN
    1949-3983
  • Type

    conf

  • DOI
    10.1109/CBMI.2010.5529909
  • Filename
    5529909