Abstract
In this paper, we propose a new scene change detection method using
multiple histograms. The proposed method produces multiple histograms of split
blocks for consecutive frames. Then, it computes the optimal threshold value
using automatic thresholding based on the Otsu method and decides whether
the scene change occurs or not using the difference between threshold values
in successive frames. In the experiments for the subjective evaluation, the
proposed method correctly identified the scene change, thereby preventing
interpolated frames with poor image quality due to block artifacts. In the
objective evaluation using the F1 score, the proposed method improved the
accuracy of the scene change detection by up to 0.461 compared with the benchmark
methods.
© 2012 IEEE
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