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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)
  • Published : 2008.02.25

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

References

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