Image and Signal processing to detect violent content in social media videos.

The amount of violent content shared on social networks makes it a very unhealthy space. Hence the birth of a growing research domain that involves filtering social media content using Artificial Intelligence-powered violence detection systems. In this paper, we propose a new approach based on deep learning to address this issue. We use a two layered model: First, a deep representation-based model that uses transfer learning concept to recognize violent content in a video. Second a text classifier to detect verbal violence using the audio cue. The result reports show that our approach is outperforming state-of-the art accuracies by learning most discriminating features, achieving 90% accuracy on the test set for physical violence detection and 89% for verbal violence detection.