Anchor Frame Detection in News Video Using Anchor Object Extraction
- Title
- Anchor Frame Detection in News Video Using Anchor Object Extraction
- Author
- 문영식
- Keywords
- shot change detection; anchor frame extraction; anchor object extraction; graph-theoretic clustering
- Issue Date
- 2004-07
- Publisher
- 대한전자공학회
- Citation
- ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications, Page. 738-741
- Abstract
- In this paper, an algorithm for anchor frame
detection in news video is proposed, which consists of four
steps. First, the cumulative histogram method is used to
detect shot boundaries in order to segment a news video
into video shots. Second, skin color information is used to
detect face regions in each video shot. Third, color
information of upper body regions is used to extract anchor
object . Then, a graph-theoretic cluster analysis algorithm is
utilized to classify the news video into anchor-person shots
and non-anchor shots. Experimental results have shown the
effectiveness of the proposed algorithm.
- URI
- http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01738104&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/149422
- Appears in Collections:
- COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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