Violence Detection in Movies with Auditory and Visual Cues
Jian Lin, Yi Sun, Weiqiang Wang · 2010
In this paper, we present a novel method to detect violent scenes in movies. The detection process involves two views-audio and video views. For the audio view, a supervised method based on HCRFs is exploited to improve the classification performance. For the video view, we detect violent shots by locating the violent areas. 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.