Research Article
Key-Frame Extraction Based on HSV Histogram and Adaptive Clustering
Algorithm 1
K-means clustering algorithm for key-frame extraction.
(1) | Initialization: convert each video frame into a one-dimensional vector by HSV histogram | (2) | Optimal cluster number: calculate the maximum SC index for the value of k | (3) | Perform K-means cluster algorithm for the given k-value | (4) | Select k cluster centers for each cluster, and the centroid or nearby centroid frame is regarded as the key frame |
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