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Video Segmentation using the Automated Threshold Decision Algorithm

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(6), pp.65-74
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

고경철 1 이양원 2

1군산대학교
2숭실대학교

Candidate

ABSTRACT

This paper propose a robust scene change detection technique that use the weighted chi-square test and the automated threshold-decision algorithm. The weighted chi-test can subdivide the difference values of individual color channels by calculating the color intensities according to NTSC standard, and it can detect the scene change by joining the weighted color intensities to the predefined chi-test which emphasize the comparative color difference values. The automated decision algorithm uses the difference values of frame-to-frame that was obtained by the weighted chi-test. In the first step, The average of total difference value and standard deviation value is calculated and then, subtract the mean value from the each difference values. In the next step, the same process is performed on the remained difference value. The propose method is tested on various sources and in the experimental results, it is shown that the proposed method is efficiently estimates the thresholds and reliably detects scene changes.

Citation status

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