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, Video-shot-change 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.

Important Links:

• DOI:
• From Proceeding (534) Signal and Image Processing - 2006

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