In this paper, we introduce a violent scenes and violence-related concept detection dataset
named VSD2014. It contains annotations as well as auditory and visual features of …

Detecting violence in videos through automatic means is significant for law enforcement and
analysis of surveillance cameras with the intent of maintaining public safety. Moreover, it …

Violent scenes detection (VSD) is a challenging problem because of the heterogeneous
content, large variations in video quality, and complex semantic meanings of the concepts …

This paper addresses the issue of detecting violent scenes in Hollywood movies. In this
context, we describe the MediaEval 2013 Violent Scene Detection task which proposes a …

ABSTRACT Affective Impact of Movies task aims to detect violent videos and affective impact
on viewers of that videos [9]. This is a challenging task not only because of the diversity of …

Automatically detecting violence in videos is paramount for enforcing the law and providing
the society with better policies for safer public places. In addition, it may be essential for …

The very idea of hiring humans to avoid the indiscriminate spread of inappropriate sensitive
content online (eg, child pornography and violence) is daunting. The inherent data deluge …

In today׳ s society where audio–visual content is ubiquitous, violence detection in movies
and Web videos has become a decisive functionality, eg, for providing automated youth …

With the development of video-sharing websites, P2P, micro-blog, mobile WAP websites,
and so on, sensitive videos can be more easily accessed. Effective sensitive video …

This work proposes a novel system for Violent Scenes Detection, which is based on the
combination of visual and audio features with machine learning at segment-level. Multiple …