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- W1999282743 abstract "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." @default.
- W1999282743 created "2016-06-24" @default.
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- W1999282743 date "2011-07-01" @default.
- W1999282743 modified "2023-09-28" @default.
- W1999282743 title "Shots Classification for Basketball Video Based on NERFC-Means Clustering" @default.
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- W1999282743 doi "https://doi.org/10.4304/jcp.6.7.1444-1451" @default.
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