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
- 학술저널
- 저자정보
- 발행연도
- 2013.10
- 수록면
- 374 - 382 (9page)
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초록· 키워드
오류제보하기
With rapid advances in computer and communications technology, the internet and video information is being used in a variety of areas?and the amount of this information is increasing exponentially. However, existing information analysis systems mainly depend on text, so it is not easy to differentiate video information. In order to solve this problem, we propose an algorithm that efficiently analyzes large amounts of video information and searches for similar images. We extract representative frames from a video via histogram analysis of the video information through low computational complexity of frame intervals. Then, we search for images with high similarity using information about colors and shapes. For obtaining color feature information in images and shape feature information, we use both hue?saturation?intensity and moment invariants.
목차
Abstract
Introduction
Related Research and Technology
Representative Frame Extraction and Image Feature Information Analysis
Experimental Results
Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2015-500-002466655