Shot Boundary Detection at TRECVID 2007

Shot boundary detection is one of the most fundamental processes in video analysis, and it requires high detection accuracy and high-speed processing. This paper proposes a method of shot boundary detection based on multiple features. The proposed method enables precise, high-speed detection by omitting the processing of frames that are clearly not shot boundaries, and by analyzing various features only for the parts of the video that are likely to contain shot boundaries. An experiment using TRECVID 2007 test data resulted in a recall rate of 90.5% and a precision rate of 94.4%. About 425 minutes of test data was processed in 3 minutes 28 seconds (excluding the MPEG1 decoding time), 1/123 of the real time.

• Type: Conference
• Year: 2007
• Where: TRECVID
• Authors: Yoshihiko Kawai, Hideki Sumiyoshi, Nobuyuki Yagi
• Keywords: Shot Boundaries, Shot Boundary Detection, Test Data, TRECVID 2007, TRECVID 2008