Baseball event detection using game-specific feature sets and rules

—A framework for scrutinizing baseball videos is proposed. By applying the well-defined baseball rules, this work exactly identifies what happens in a game rather than roughly finding some interesting parts. After extracting the information changes on the superimposed caption, a rulebased decision is applied to detect meaningful events. Only three types of information, including number of outs, number of scores, and base-occupation situation, have to be considered in the detection process. The experimental results show the effectiveness of this framework and demonstrate some research opportunities about generating semantic-level summary or indexing for sports videos.

• Type: Conference
• Year: 2005
• Where: ISCAS
• Authors: Chih-Hao Liang, Wei-Ta Chu, Jin-Hau Kuo, Ja-Ling Wu, Wen-Huang Cheng
• Keywords: Baseball Videos, ISCAS 2005, Well-defined Baseball Rules, —A Framework