Weakly-supervised violence detection in movies with audio and video based co-training

Abstract

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, we 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. © 2009 Springer-Verlag Berlin Heidelberg.