Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Scene Change Detection Using Local Information

지역적 정보를 이용한 장면 전환 검출

  • 신성윤 (군산대학교 컴퓨터정보공학과) ;
  • 진찬용 (원광대학교 정보.전자상거래학부) ;
  • 이양원 (군산대학교 컴퓨터정보공학과)
  • Received : 2012.06.01
  • Accepted : 2012.06.01
  • Published : 2012.06.30
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Abstract

This paper proposes a Scene Change Detection method using the local decision tree and clustering. The local decision tree detects cluster boundaries wherein local scenes occur, in such a way as to compare time similarity distributions among the difference values between detected scenes and their adjacent frames, and group an unbroken sequence of frames with similarities in difference value into a cluster unit.

본 논문은 지역의 의사 결정 트리와 클러스터링을 사용하여 장면 전환 검출 방법을 제시한다. 지역 의사 결정 트리는 클러스터 경계 검출 장면과 그 인접 프레임의 사이의 차이 값을 시간 유사 분포를 비교하기 위해 같은 방식으로 검출하고, 그리고 클러스터 단위로 차이 값의 유사성과 그룹 프레임의 끊어지지 않는 시퀀스를 감지한다.

Keywords

References

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