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, 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.

• Type: Conference
• Year: 2009
• Where: PCM
• Authors: Jian Lin, Weiqiang Wang
• Keywords: PCM 2009, Violent Contents, Violent Shots, Weakly-supervised Method