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http://dx.doi.org/10.5391/JKIIS.2008.18.1.133

A New Anchor Shot Detection System for News Video Indexing  

Lee, Han-Sung (Dept. of Computer and Information Science, Korea University)
Im, Young-Hee (Dept. of Computer and Information Science, Korea University)
Park, Joo-Young (Dept. of Control and Instrumental Engineering, Korea University)
Park, Dai-Hee (Dept. of Computer and Information Science, Korea University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.1, 2008 , pp. 133-138 More about this Journal
Abstract
In this paper, we propose a novel anchor shot detection system, named to MASD (Multi-phase Anchor Shot Detection), which is a core step of the preprocessing process for the news video analysis. The proposed system is composed of four modules and operates sequentially: 1) skin color detection module for reducing the candidate face regions; 2) face detection module for finding the key-frames with a facial data; 3) vector representation module for the key-frame images using a non-negative matrix factorization; 4) one class SVM module for determining the anchor shots using a support vector data description. Besides the qualitative analysis, our experiments validate that the proposed system shows not only the comparable accuracy to the recently developed methods, but also more faster detection rate than those of others.
Keywords
anchor shot detection; face detection; NMF; SVM; SVDD;
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