Shot Change Detection Using Global and Local Information with Adaptive Threshold

نویسندگان

  • Tsung-Han Tsai
  • Chih-Lun Fang
  • Yung-Chien Chen
چکیده

In this short paper, a novel approach that combines global and local information to detect abrupt and gradual shot changes is proposed. In this approach, abrupt shot change is detected by an adaptive threshold computed from DC frame histogram difference with a sliding window. To detect gradual shot changes, this work performs an analysis of blockwise histogram difference with a statistical model. The proposed method increases the application of histogram information to abrupt and gradual shot change detection. The experiments and comparisons on various video sequences demonstrate good detection results.

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تاریخ انتشار 2012