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
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
Keywords :
Explicit Content Detection System , Safe Environment , Ethical environment , system to detect Not Suitable For Work (NSFW)