NII-UIT at MediaEval 2014 violent scenes detection affect task
Vu Lam, Duy-Dinh Le, Sang Phan, Shin’ichi Satoh, Duc Anh Duong · 2014
Violent scene detection (VSD) is a challenging problem be-cause of the heterogeneous content, large variations in video quality, and semantic meaning of the concepts. The Violent Scenes Detection Task of MediaEval [1] provides a common dataset and evaluation protocol thus enables a fair compari-son of methods. In this paper, we describe our VSD system used in MediaEval 2014 and briefly discuss the performance results obtained in main subjective tasks. In this year, we fo-cus on improving the trajectory-based motion features that have been proven effective in previous year’s evaluation. Be-sides that, we also adopt SIFT-based and audio features as in last year’s system. We combined these features using late fusion. Our results show that the trajectory-based mo-tion features still have very competitive performance and the combination with still image features and audio features can improve overall performance. 1.