Objectionable video classification exploiting cascade classifier

For the image domain, much research has been done to protect children from the harmful exposure to the objectionable images. Although image classification techniques require low computation time, it requires longer computation time to classify the videos. To classify the objectionable videos, it needs to process the many representative key-frames. To reduce the processing time of video classification, this paper proposes an objectionable video classification method exploiting cascade classifier. The experimental results show that the proposed method reduces the processing time without the degradation of classification performance.