지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2008.7
- 수록면
- 187 - 190 (4page)
이용수
초록· 키워드
오류제보하기
The video scene change detection technology is a basic technology to build an efficient video retrieval system. Dividing video file into shots is called video segmentation and detecting a cut which is the changing point of scene to video segmentation is called scene change detection.
In this paper, we apply the average value of the differences between frames after the scene detection as the threshold value. In our work, the rapid scene change detection method based on the DC coefficient and the macro block type shows a good performance with 83.3% of precision rate by using the luminance information of the scene in i frame and for the gradual scene change detection, our algorithm recorded 85.7% of recall rate in scene change by using the difference value of color histogram.
In this paper, we apply the average value of the differences between frames after the scene detection as the threshold value. In our work, the rapid scene change detection method based on the DC coefficient and the macro block type shows a good performance with 83.3% of precision rate by using the luminance information of the scene in i frame and for the gradual scene change detection, our algorithm recorded 85.7% of recall rate in scene change by using the difference value of color histogram.
목차
Abstract
1. Introduction
2. Related research
3. We propose algorithm
4. Result
5. Conclusions
6. References
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UCI(KEPA) : I410-ECN-0101-2012-004-004249591