Pornographic video classification using fast motion Features

In this paper, a novel method to automatically classify an pornographic video using fast motion features is proposed. In proposed method, predefined number of clips without a shot change are extracted from an input video and new, fast motion features are computed for each clip. Each clip is given a pornographic possibility based on motion distribution information. If the possibility is bigger than a threshold value, the clip is regarded as an pornographic clip. Finally, the ratio of pornographic clips is computed and the input video is classified as an pornographic video if the ratio is bigger than a threshold ratio.