Robust Video-Shot-Change Detection by Adaptive Threshold based on the Adjacent Pixel Intensity Difference Quantization Histogram Method

F. Lee, K. Kotani, Q. Chen, and T. Ohmi (Japan)

Keywords

APIDQ, Histogram method, Videoshotchange detection

Abstract

In this paper, we propose a robust video-shot-change detection method based on the adjacent pixel intensity difference quantization histogram method (APIDQ), which had been reliably applied to human face recognition previously. By block-division method and adaptive threshold, experimental results show that the APIDQ method can detect the shot changes more accurately than conventional method that is very susceptible to noises.

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