• DocumentCode
    567183
  • Title

    The Mask-SIFT cascading classifier for pornography detection

  • Author

    Steel, Chad M S

  • Author_Institution
    Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Falls Church, VA, USA
  • fYear
    2012
  • fDate
    10-12 June 2012
  • Firstpage
    139
  • Lastpage
    142
  • Abstract
    Pornography detection using the Scale Invariant Feature Transform (SIFT) has been shown effective in identifying pornographic images. By including automated Gaussian skin masking for feature isolation, classifier performance is significantly improved. Similarly, utilizing a cascading classifier that pre-filters images based on size and skin percentage further improves precision and recall with a substantial increase in classification speed.
  • Keywords
    Gaussian processes; feature extraction; image classification; object detection; automated Gaussian skin masking; feature isolation; mask-SIFT cascading classifier; pornographic image identification; pornography detection; scale invariant feature transform; Classification algorithms; Detectors; Feature extraction; Image color analysis; Internet; Skin; Training; Pornography detection; feature recognition; skin detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Security (WorldCIS), 2012 World Congress on
  • Conference_Location
    Guelph, ON
  • Print_ISBN
    978-1-4673-1108-3
  • Type

    conf

  • Filename
    6280215
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=567183