Abstract: Recently, automatic sports video analysis has received increasing attention, because sport video appeals to large audiences. The processing of sports video generates various valuable applications such as highlighting, summarization, indexing/retrieval, athlete’s training and entertainment. This talk introduces the techniques of broadcast sport video content analysis. First of all, I will describe the characteristics of broadcast sport videos and give an introduction to analysis rules for sport video contents. Next, I will introduce our proposed broadcast sport analysis systems including event detection of baseball videos and player detection and tracking for tennis videos. Finally, demonstration of the two systems will be given. Bio: Chaur-Heh Hsieh received Ph.D. degree in Electrical Engineering in 1990 from Chung Cheng Institute of Technology (CCIT), Taiwan, Republic of China. In 1981, He joined the faculty of the Department of Electrical Engineering at CCIT, and became a professor in 1993. From 1996 he joined I-Shou University (ISU) as a full professor of Information Engineering Department. From 1999 to 2002, he served as the chairman of the department. He was a Visiting Scholar in the Department of Electrical Engineering at University of Washington from February to July in 2006. From 2007 he joined Ming-Chuan University as a full professor of Computer and Communication Engineering Department. His research interests include content-based image/video retrieval, sport video analysis, statistical pattern recognition, advanced video coding and image watermarking. He has published more than 180 papers in these subjects. Dr. Hsieh received Grade-A Research Awards from National Science Council eleven times (from 1991 to 2001). In 2002, he received Outstanding Electrical Engineer Award, Kaohsiung Chapter of The Chinese Institute of Electrical Engineering Society. He is an IET Fellow and IEEE senior member.