This paper presents an audio-visual data representation for violent scenes detection in movies. Existing works in this field consider either the audio or the visual information; or their shallow fusion. None has yet explored their joint de- pendence for violent scenes detection. We propose a feature which provides strong multi-modal audio and visual cues by first joining the audio and the visual features and then revealing statistically the joint multi-modal patterns. Ex- perimental validation was conducted in the context of the Violent Scenes Detection task of the MediaEval 2013 Multi- media benchmark. The obtained results show the potential of the proposed approach in comparison to methods using audio and visual features separately and other fusion meth- ods.