HyperAI

Camera Shot Boundary Detection

Camera shot boundary detection is a task in the field of computer vision aimed at identifying transitions between different camera shots in a video and classifying the types of transitions. This task was introduced in the SoccerNet-v2 dataset, considering three types of transitions: cut, fade, and dissolve. Accurate shot boundary detection can improve the efficiency and accuracy of video analysis, providing crucial support for applications such as video editing, content retrieval, and intelligent surveillance.