A New Method to Classify Shots in Basketball Video
نویسندگان
چکیده
As the foundation of the sports video annotation, shots classification is presented in this paper. Using non-supervised method the shots are clustered 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). After comparing the clusters None Euclidean Relational Fuzzy C-means (NERFCM) is applied to cluster the shots. Experiments prove its efficiency and sensitivity.
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