Evaluation of low-level features for detecting violent scenes in videos
Vu Lam, Duy-Dinh Le, Sang Phan, Shin’ichi Satoh, Due Arm Duong, Thanh Due Ngo · 2013
Automatically detecting violent scenes in videos not only has great potential in several applications (such as movie selection or recommendation for children) but also is a very hot academic research topic. Since 2011, violent scene detection task is one of the core tasks of MediaEval, a benchmarking initiative dedicated to evaluating new algorithms for multimedia access and retrieval1. In this paper, we evaluate the performance of low-level audio/visual features for the violent scene detection task using the datasets and evaluation protocol provided by the MediaEval organizers. Our result report can be used as a baseline for comparison of new algorithms in this task