Robust TV News Story Identification Via Visual Characteristics of Anchorperson Scenes

  • Chia-Hung Yeh
  • Min-Kuan Chang
  • Ko-Yen Lu
  • Maverick Shih
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4319)


In this paper, a new scheme for TV news segmentation via exploring the efficient visual features is proposed especially for TV news which contains lots of changeful background of anchorperson shots. The proposed scheme can be divided into two parts: probable anchorperson shot detection and real anchorperson detection. Our proposed method can efficiently detect anchorperson shots even though anchorperson shots contain changeful background and anchorperson position variation. Meanwhile, non-anchorperson shots can be robustly excluded from report shots such as interview scenes. Experimental results are given to demonstrate the feasibility and efficiency of the proposed techniques.


TV news segmentation visual features skin color face recognition anchorperson detection 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chia-Hung Yeh
    • 1
  • Min-Kuan Chang
    • 2
  • Ko-Yen Lu
    • 2
  • Maverick Shih
    • 3
  1. 1.Department of Computer Science and Information EngineeringNational Dong-Hwa UniversityTaiwan
  2. 2.Department of Electrical EngineeringNational Chung-Hsing UniversityTaiwan
  3. 3.MAVs Laboratory IncorporatedLung-Tan, Tau-YuanTaiwan

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