• Title of article

    Explicit Content Detection System: An Approach towards a Safe and Ethical Environment

  • Author/Authors

    Bhatti, Ali Qamar Iqra University, Pakistan , Umer, Muhammad Iqra University, Pakistan , Adil, Hasan Iqra University, Pakistan , Ebrahim, Mansoor Sunway University, Malaysia , Nawaz, Daniyal Iqra University, Pakistan , Ahmed, Faizan Iqra University, Pakistan

  • Pages
    13
  • From page
    1
  • To page
    13
  • Abstract
    An explicit content detection (ECD) system to detect Not Suitable For Work (NSFW) media (i.e., image/ video) content is proposed.The proposed ECD system is based on residual network (i.e., deep learning model) which returns a probability to indicate the explicitness in media content. The value is further compared with a defined threshold to decide whether the content is explicitor nonexplicit. The proposed system not only differentiates between explicit/non explicit contents but also indicates the degree of explicitness in any media content, i.e., high, medium, or low. In addition, the system also identifies the media files with tampered extension and label them as suspicious. The experimental result shows that the proposed model provides an accuracy of∼95%when tested on our image and video datasets
  • Farsi abstract
    فاقد چكيده فارسي
  • Keywords
    Explicit Content Detection System , Safe Environment , Ethical environment , system to detect Not Suitable For Work (NSFW)
  • Journal title
    Applied Computational Intelligence and Soft Computing
  • Serial Year
    2018
  • Record number

    2604787