Abstract

Harmful contents are rising in television day by day and this motivates the essence of more research in fast and reliable obscene and immoral material filtering. Adultery content image recognition is an important component in each filtering system. We use Skin detection process of finding skin colored pixels and regions in each frame of a video. This process is typically used as a preprocessing step to find regions that potentially have human faces and limbs in images. Many computer vision approaches have been developed for skin detection. Immoral imagery or as they put it pornography has been there for a long time and with the advent of web it has only just grown. Adultery is considered as obscene material whose intention is to provoke sexual arousal. So, it should be managed and certainly shouldn't be popping where it is not meant to. So we propose to design a system that takes a frame and detects if it is a pornographic image or not. We intend to be using SVM (Support Vector Machines) to exploit primitive information from different images and use the knowledge to determine whether given image is pornographic or not.

Authors and Affiliations