• DocumentCode
    3266059
  • Title

    Classification of image databases using face detection

  • Author

    Sergyán, Szabolcs

  • Author_Institution
    John von Neumann Fac. of Inf., Budapest Tech., Budapest
  • fYear
    2008
  • fDate
    26-27 Sept. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    During image retrieval in image databases the indexing technique can be used on many ways. The two most frequently used methods are the text-based and the content-based indexing. In case of content-based image retrieval the image classification is significant, and after the classification process the image retrieval can be much efficient than without classification. A possible way of image classification is the decision of that, the image contains human faces or not. In this paper a survey of the recently used face detection algorithms, and a comparative analysis of that is shown. The effectiveness of face detection algorithms in image classification also is shown.
  • Keywords
    face recognition; image classification; text analysis; visual databases; content-based indexing; face detection; image database classification; image retrieval; indexing technique; text-based methods; Algorithm design and analysis; Classification algorithms; Content based retrieval; Face detection; Humans; Image classification; Image databases; Image retrieval; Indexing; Information retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Informatics, 2008. SISY 2008. 6th International Symposium on
  • Conference_Location
    Subotica
  • Print_ISBN
    978-1-4244-2406-1
  • Electronic_ISBN
    978-1-4244-2407-8
  • Type

    conf

  • DOI
    10.1109/SISY.2008.4664960
  • Filename
    4664960