Nipple-skin Based Detection For Pornographic Video

More and more people recognize the conveniences of the network as the scale of net citizen is developing rapidly. And the plenty of families get contact with the network since the decreasement of price of equipment of network and increasement of incoming of people. Nowadays, we can get some beneficial information from the network. However, the influence of the sexual and violent information is abstained impossibly. The stimulation of the sexual information will affect the attitude of the world and value, especially the attitude of the teenagers. Therefore, it is necessary to find the algorithm of the detection and prohibition of the sexual information. In our paper, the main object of our research is sexual video. Based on the detection of the video, we hope to ban it effectively.Firstly, based on the investigation of all kinds of the temporal methods, an innovative and effective method of porn video detection is proposed. We divide the procedure of porn video detection into three steps:video shot detection, key frame extract, porn image detection. Differential of neighbor frames is used to find the location of the video shot. The shot of video is determined by the changes of the histograms of the neighbor frames. Then, the key frame is extracted by the method of the local optical flow. Whether the shot is porn or not can be convincing judged only by key frame. That also means shot is the unit of porn video detection. The shot needs to be forbidden if the key frame of the shot has the suspicion of porn. The method of the detection of frame combines the skin and feature (nipple). We used the GMM model to describe the skin pixel. Then the adaboost algorithm is to detection the feature (nipple).The frame is determined by the combination of the two above. At the final of our paper, the experiment shows that the time complexity and the result of the detection is satisfied.