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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)

Abstract

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.

Keywords

TV news segmentation visual features skin color face recognition anchorperson detection 

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References

  1. 1.
    Yeh, C.-H., Lee, S.-H., Jay Kuo, C.-C.: Content-based video analysis for knowledge discovery. In: Chen, C.H., Wang, P.S.P. (eds.) Handbook of Pattern Recognition and Computer Vision, 3rd edn. version, World Scientific Publishing Co, Singapore ISBN: 981-256-105-6.Google Scholar
  2. 2.
    Li, Y., Lee, S.-H., Yeh, C.-H., Jay Kuo, C.-C.: Techniques for movie content analysis and skimming. IEEE Signal Processing Magazine 23(2), 79–89 (2006)zbMATHCrossRefGoogle Scholar
  3. 3.
    Lee, S.-H., Yeh, C.-H., Jay Kuo, C.-C.: Automatic movie skimming with story units via general tempo analysis. In: Proceedings of SPIE Electronic Image Storage and Retrieval Methods and Applications for Multimedia, vol. 5307, pp. 396–407 (2004)Google Scholar
  4. 4.
    O’Hare, N., Smeaton, A.F., Czirjek, C., O’Connor, N., Murphy, N.: A generic news story segmentation system and its evaluation. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 3, pp. 1028–1031 (2004)Google Scholar
  5. 5.
    O’Connor, N., Czirjek, C., Deasy, S., Marlow, S., Murphy, N., Smeaton, A.: News story segmentation in the Fischlar video indexing system. In: Proceedings of the IEEE International Conference on Image Processing, vol. 3, pp. 418–421 (2001)Google Scholar
  6. 6.
    Hui, P.Y., Tang, X., Meng, H.M., Lam, W., Gao, X.: Automatic story segmentation for spoken document retrieval. In: Proceedings of the 10th IEEE International Conference on Fuzzy Systems, vol. 3, pp. 1319–1322 (2001)Google Scholar
  7. 7.
    Yeung, M.M., Yeo, B.-L., Liu, B.: Extracting story units from long programs for video browsing and navigation. In: Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems, pp. 296–305 (1996)Google Scholar
  8. 8.
    Rui, Y., Huang, T.S., Mehrotra, S.: Constructing Table-of-Content for Videos. Proceedings of the ACM Journal on the Multimedia Systems 7(5), 359–368 (1999)CrossRefGoogle Scholar
  9. 9.
    Albiol, A., Bouman, C.A., Delp, E.J.: Face detection for pseudo-semantic labeling in video databases. In: Proceedings of the IEEE International Conference on Image Processing, vol. 3, pp. 607–611 (1999)Google Scholar
  10. 10.
    Czirjek, C., O’Connor, N., Marlow, S., Murphy, N.: Face detection and clustering for video indexing applications. In: Proceedings of Advanced Concepts for Intelligent Vision Systems (2003)Google Scholar
  11. 11.
    José de Dios, J., García, N.: Fast face segmentation in component color space. In: Proceedings of the IEEE International Conference on Image Processing, vol. 1, pp. 191–194 (2004)Google Scholar

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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