A Rapid Scheme for Slow-Motion Replay Segment Detection

Abstract. Efficient data mining for digital video has become increasingly important in recent years. In this paper, we present a new scheme for automatic detection of slow-motion replays in sports video. Several slow-motion features and some newly discovered characteristics of slowmotion segments are exploited to aid the detection. The first step of our method is based on the macroblock motion vector information, while the second step makes use of frame-to-frame difference under an MC-DCT structure to verify the output of the first step. The last step is applied to refine the segment boundaries. Unlike previous approaches, our method has great improvement in both speed and accuracy and a balance between efficiency and simplicity.

• Type: Conference
• Year: 2004
• Where: PCM
• Authors: Wei-Hong Chuang, Dun-Yu Hsiao, Soo-Chang Pei, Homer Chen
• Keywords: Multimedia, PCM 2004, Several Slow-motion Features, Slow-motion Replays, first Step