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Scene Change Detection using the Automated Threshold Estimation Algorithm
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  • Scene Change Detection using the Automated Threshold Estimation Algorithm
  • Scene Change Detection using the Automated Threshold Estimation Algorithm
저자명
Ko. Kyong-Cheol,Rhee. Yang-Won
간행물명
정보시스템연구
권/호정보
2005년|14권 3호|pp.117-122 (6 pages)
발행정보
한국정보시스템학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

This paper presents a method for detecting scene changes in video sequences, in which the $chi^{2}$-test is modified by imposing weights according to NTSC standard. To automatically determine threshold values for scene change detection, the proposed method utilizes the frame differences that are obtained by the weighted $chi^{2}$-test. In the first step, the mean and the standard deviation of the difference values are calculated, and then, we subtract the mean difference value from each difference value. In the next step, the same process is performed on the remained difference values, mean-subtracted frame differences, until the stopping criterion is satisfied. Finally, the threshold value for scene change detection is determined by the proposed automatic threshold estimation algorithm. The proposed method is tested on various video sources and, in the experimental results, it is shown that the proposed method is reliably estimates the thresholds and detects scene changes.