Camera Shot Segmentation

"Camera shot temporal segmentation" is a task in the field of computer vision that aims to classify each frame in a video to determine the type of camera used. This task utilizes the SoccerNet-v2 dataset, considering 13 camera categories including main camera, behind-the-goal camera, corner camera, etc. By accurately identifying segments captured by different cameras, the precision and efficiency of video analysis can be improved, providing significant support for areas such as sports event analysis and film production.