A unified scheme of shot boundary detection and anchor shot detection in news video story parsing
- Authors
- Lee, Hansung; Yu, Jaehak; Im, Younghee; Gil, Joon-Min; Park, Daihee
- Issue Date
- Feb-2011
- Publisher
- SPRINGER
- Keywords
- News video parsing; Shot boundary detection; Anchor shot detection; Adaptive resonance theory; Support vector data description
- Citation
- MULTIMEDIA TOOLS AND APPLICATIONS, v.51, no.3, pp 1127 - 1145
- Pages
- 19
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- MULTIMEDIA TOOLS AND APPLICATIONS
- Volume
- 51
- Number
- 3
- Start Page
- 1127
- End Page
- 1145
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/113189
- DOI
- 10.1007/s11042-010-0462-x
- ISSN
- 1380-7501
1432-1882
- 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.
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- Appears in
Collections - College of Science and Technology > Department of Computer Convergence Software > 1. Journal Articles

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