• DocumentCode
    2139079
  • Title

    Automatic human face detection for content-based image annotation

  • Author

    Jiang, Richard M. ; Sadka, A.H. ; Zhou, Huiyu

  • Author_Institution
    Centre for Media Commun. Res., Brunel Univ., London
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    66
  • Lastpage
    69
  • Abstract
    In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour filtering classifier to enhance the accuracy in face detection. The initial experimental benchmark shows the proposed scheme can be efficiently applied for image annotation with higher fidelity.
  • Keywords
    content-based retrieval; face recognition; filtering theory; image classification; image colour analysis; image retrieval; adaptive boosting algorithm; automatic human face detection; colour analysis; colour filtering classifier; content-based image annotation; Boosting; Data mining; Digital multimedia broadcasting; Face detection; Humans; Image color analysis; Image databases; Multimedia communication; Multimedia databases; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Content-Based Multimedia Indexing, 2008. CBMI 2008. International Workshop on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-2043-8
  • Electronic_ISBN
    978-1-4244-2044-5
  • Type

    conf

  • DOI
    10.1109/CBMI.2008.4564929
  • Filename
    4564929