• DocumentCode
    758552
  • Title

    K-DIME: an affective image filtering system

  • Author

    Bianchi-Berthouze, Nadia

  • Author_Institution
    Univ. of Aizu, Japan
  • Volume
    10
  • Issue
    3
  • fYear
    2003
  • Firstpage
    103
  • Lastpage
    106
  • Abstract
    The Kansei (Japanese for sensitivity) Distributed Information Management Environment, or K-DIME, software environment lets users or software applications fetch multimedia material from the Web on the basis of textual keywords and filter it using a Kansei user model (KUM). The KUM learns a mapping between low-level features of the multimedia data and impression words - such as "romantic" - expressed in natural language. K-DIME acts as a metasearch engine for the Web.
  • Keywords
    Web sites; image retrieval; information filters; multimedia computing; natural languages; search engines; K-DIME; Kansei Distributed Information Management Environment; Kansei user model; Web; affective image filtering system; impression words; low-level features; metasearch engine; multimedia data; multimedia material; natural language; software environment; textual keywords; Airplanes; Color; Filtering; Image analysis; Image processing; Image retrieval; Neural networks; Neurofeedback; Search engines; Shape;
  • fLanguage
    English
  • Journal_Title
    MultiMedia, IEEE
  • Publisher
    ieee
  • ISSN
    1070-986X
  • Type

    jour

  • DOI
    10.1109/MMUL.2003.1218262
  • Filename
    1218262