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학술지 A Unified Scheme of Shot Boundary Detection and Anchor Shot Detection in News Video Story Parsing
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저자
이한성, 유재학, 임영희, 길준민, 박대희
발행일
201102
출처
Multimedia Tools and Applications, v.51 no.3, pp.1127-1145
ISSN
1380-7501
출판사
Springer
DOI
https://dx.doi.org/10.1007/s11042-010-0462-x
초록
In this paper, we propose an efficient one-pass algorithm for shot boundary detection and a cost-effective anchor shot detection method with search space reduction, which are unified scheme in news video story parsing. First, we present the desired requirements for shot boundary detection from the perspective of news video story parsing, and propose a new shot boundary detection method, based on singular value decomposition, and a newly developed algorithm, viz., Kernel-ART, which meets all of these requirements. Second, we propose a new anchor shot detection system, viz., MASD, which is able to detect anchor person cost-effectively by reducing the search space. It consists of skin color detector, face detector, and support vector data descriptions with non-negative matrix factorization sequentially. The experimental results with the qualitative analysis illustrate the efficiency of the proposed method. © 2010 Springer Science+Business Media, LLC.
KSP 제안 키워드
Detection Method, Intrusion detection system(IDS), Nonnegative Matrix Factorization(NMF), Qualitative analysis, Search space reduction, Shot boundary detection, Support vector, Unified scheme, cost-effective, one-pass, shot detection