Automatic summarization of basketball sport video

An effective method for highlight generation from basketball sports videos is proposed in this paper. Video shot classification is done which classify video into three categories that is close-up view, far view and replay. For close-up and far view detection we have proposed the feature based on the percentage of edge pixels to classify the frame into Far or close-up view. A pair of logos determines a replay segment and hence we have proposed an algorithm that determine logo and identify replay segments. Framework for ball detection is also described which is based on calculating intensity difference of two consecutive frames and performing morphology operations.