Exciting event detection in broadcast soccer video with mid-level description and incremental learning

In this paper, we propose a method for exciting event detection in broadcast soccer video with mid-level description and SVM-based incremental learning. In the method, video frames are firstly classified and grouped into views in terms of low-level playfield features. Mid-level description including view label, motion descriptor and shot descriptor are then extracted to present the characteristics of a view. By using the fixed temporal structure of views, SVM classification models are constructed to detected exciting events in a soccer match. In the view classification and event detection procedures, SVM-based incremental learning method is explored to improve the extensibility of view classification and event detection. Experiments on real soccer video programs demonstrate encouraging results. Categories and Subject Descriptors

• Type: Conference
• Year: 2005
• Where: MM
• Authors: Qixiang Ye, Qingming Huang, Wen Gao, Shuqiang Jiang
• Keywords: Event Detection, Mid-level Description, MM 2005, SVM-based Incremental Learning