Weakly-Supervised Violence Detection in Movies with Audio and Video Based Co-training

In this work, we present a novel method to detect violent shots in movies The detection process is split into two views the audio and video views From the audio-view. a weakly-supervised method is exploited to improve the Classification performance And from the video-view, WC use a classifier to detect violent shots Finally, the auditory and visual classifiers are combined in a co-training way The experimental results on several movies with violent contents preliminarily show the effectiveness of our method