Event detection by velocity pyramid

Abstract

In this paper, we propose velocity pyramid for multimedia event detection. Recently, spatial pyramid matching is proposed to introduce coarse geometric information into Bag of Features framework, and is effective for static image recognition and detection. In video, not only spatial information but also temporal information, which represents its dynamic nature, is important. In order to fully utilize it, we propose velocity pyramid where video frames are divided into motional sub-regions. Our method is effective for detecting events characterized by their temporal patterns. Experiment on the dataset of MED (Multimedia Event Detection) has shown 10% improvement of performance by velocity pyramid than without this method. Further, when combined with spatial pyramid, velocity pyramid provides an extra 3% gains to the detection result. © 2014 Springer International Publishing.