Evaluation of low-level features for detecting violent scenes in videos

Abstract

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.