Implementation of Pornographic Videos Detection System

Abstract

Based on the features of video content, this paper addresses the system of detecting pornographic videos. The system makes use of an improved algorithm for shot segmentation based on clustering and then extracts key frames. It converts the detection of video to identification of key frames. We use the skin color detection to detect the key frames which have been extracted. The experimental results show that the method's correct detection is up to 80% and it is an effective method for detecting pornographic videos.