Histogram Shape-Based Scene-Change Detection Algorithm

This paper proposes histogram shape-based scene-change detection to automatically recognize the changing content in a moving image for frame rate up-conversion; in the frame rate up-conversion, it is important to detect both local and global scene changes. In addition, a threshold value should be fixed regardless of the image characteristics that requires low computation. The proposed algorithm simply extracts the shape of a two-dimensional histogram using point-based distance calculation. It also uses block merging and blocks smoothing to further improve the accuracy of the scene change detection. In the experimental results, the proposed algorithm enhanced the average F1 score to 0.607 (a 189.63% improvement) as compared with the benchmark methods. The average computation time of the proposed algorithm also decreased to 1.696 ms (a 65.81% reduction) compared with the benchmark algorithms.