This paper proposes methods for extracting attack scenes and replay scenes in a handball match video to reduce manual tagging time. The system identifies the attack scenes through goal object detection, allowing analysts to skip non-attack initiation scenes. The replay detection algorithm utilizes player size analysis within video frames. According to the experimental results, the attack scene extraction method achieved 100% accuracy, and implementing the skip function between attack initiation scenes reduced the manual tagging time for a one-hour video from approximately 30 minutes to 15 minutes. The replay extraction achieved 99.8% accuracy across 146,051 frames.
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