MIC-TJU at MediaEval Violent Scenes Detection (VSD) 2014
Bowen Zhang, Yun Yi, Hanli Wang, Jian Yu · 2014
The task of Violent Scenes Detection requires creating a sys-tem to detect segments which contain physical violence in both movies and videos found on the web, which is a very challenging task due to camera jitters in hand-shot videos and free shot boundary in movies and web videos. In this pa-per, we present a novel system by combining shot boundary detection, feature extraction in both audio and video do-mains, Bag-of-Words model and Support Vector Machine. The key part of system lies in trajectory based features that are calculated around robust optical flows. These flows are extracted by a novel salient keypoint trajectory algorithm. According to our results, a good detection performance can be achieved by using trajectory based features combined with dense SIFT and MFCC. 1.