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A Unified Scheme of Shot Boundary Detection and Anchor Shot Detection in News Video Story Parsing
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- Authors
- Hansung Lee, Jaehak Yu, Younghee Im, Joon-Min Gil, Daihee Park
- Issue Date
- 2011-02
- Citation
- Multimedia Tools and Applications, v.51, no.3, pp.1127-1145
- ISSN
- 1380-7501
- Publisher
- Springer
- Language
- English
- Type
- Journal Article
- Abstract
- 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 Keywords
- Detection Method, Detection Systems(IDS), One-pass, Qualitative Analysis, Search space reduction, Shot boundary detection, Support vector, Unified scheme, cost-effective, non-negative matrix factorization(NMF), shot detection