• DocumentCode
    2030364
  • Title

    Pornographic Images Detection Based on CBIR and Skin Analysis

  • Author

    Liu, Bei-Bei ; Su, Jing-yang ; Lu, Zhe-Ming ; Li, Zhen

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ., Guangzhou
  • fYear
    2008
  • fDate
    3-5 Dec. 2008
  • Firstpage
    487
  • Lastpage
    488
  • Abstract
    A novel two-stage scheme of pornographic image detection is proposed in this paper. Specifically, we first apply the content-based image retrieval technique to find out whether human are present in the images. Then a detailed skin color analysis is performed to affirm the presence of pornographic content in the images. Experimental results show that the proposed algorithm performs well and fast in detecting pornographic images.
  • Keywords
    content-based retrieval; image colour analysis; image retrieval; object detection; skin; CBIR; content-based image retrieval technique; pornographic images detection; skin color analysis; Content based retrieval; Humans; Image analysis; Image color analysis; Image databases; Image retrieval; Internet; Skin; Spatial databases; Web pages; Content-based image retrieval; Pornographic image detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2008. SKG '08. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3401-5
  • Electronic_ISBN
    978-0-7695-3401-5
  • Type

    conf

  • DOI
    10.1109/SKG.2008.48
  • Filename
    4725972