摘要：shots classification is the fundamental for sports video annotation. This paper uses non-supervised method to cluster the shots into defined classes (in-play, close-up and free-throw) based on the low-level features of the image (the main color and the histogram). Specifically, we apply the None Euclidean Relational Fuzzy C-means (NERFCM) to cluster the shots after comparing the four Fuzzy C-means and extracting the low-level features of the frames. Experiments prove its efficiency and sensitivity.
