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
- 2014.11
- 수록면
- 376 - 379 (4page)
이용수
초록· 키워드
오류제보하기
Opening shots in a movie contain information on production of the movie. These shots are independent of the story of the movie then they could be skipped if a user does not want to watch them. In this paper, we propose a method to detect opening shots. We divide sequence of frames into several shots by detecting blank frames. Then, the shots are classified as opening shots or movie shots using a SVM classifier. The feature vectors for each shot are both the ratio of the number of frames containing texts to the total number of frames and the time duration. A text detector is used to obtain the information of existence of texts in a frame. The proposed text detector localizes texts by taking MSER(Maximally Stable Extremal Region) regions as the candidates for text regions and filtering them by spatial and temporal constraints. The proposed method is straightforward and shows good performance.
목차
Abstract
I. 서론
II. 제안하는 방법
Ⅲ. 실험결과
Ⅳ. 결론 및 향후 연구 방향
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UCI(KEPA) : I410-ECN-0101-2016-569-001269782