Automatic replay generation for soccer video broadcasting

While most current approaches for sports video analysis are based on broadcast video, in this paper, we present a novel approach for highlight detection and automatic replay generation for soccer videos taken by the main camera. This research is important as current soccer highlight detection and replay generation from a live game is a labor-intensive process. A robust multi-level, multi-model event detection framework is proposed to detect the event and event boundaries from the video taken by the main camera. This framework explores the possible analysis cues, using a mid-level representation to bridge the gap between low-level features and high-level events. The event detection results and midlevel representation are used to generate replays which are automatically inserted into the video. Experimental results are promising and found to be comparable with those generated by broadcast professionals. Categories and Subject Descriptors I.5.5 [Pattern Recognition]: Implementation—Int...

• Type: Conference
• Year: 2004
• Where: MM
• Authors: Jinjun Wang, Changsheng Xu, Chng Eng Siong, Kongwah Wan, Qi Tian
• Keywords: Event Detection, MM 2004, Replay Generation, Sports Video Analysis