Shot Detection and Motion Analysis for Automatic MPEG-7 Annotation of Sports Videos

  • Giovanni Tardini
  • Costantino Grana
  • Rossano Marchi
  • Rita Cucchiara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

In this paper we describe general algorithms that are devised for MPEG-7 automatic annotation of Formula 1 videos, and in particular for camera-car shots detection. We employed a shot detection algorithm suitable for cuts and linear transitions detection, which is able to precisely detect both the transition’s center and length. Statistical features based on MPEG motion compensation vectors are then employed to provide motion characterization, using a subset of the motion types defined in MPEG-7, and shot type classification. Results on shot detection and classification are provided.

Keywords

Linear Discriminant Analysis Motion Vector Camera Motion Motion Type Sport Video 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Pei, S.-C., Chou, Y.-Z.: Efficient MPEG Compressed Video Analysis Using Macroblock Type Information. IEEE Trans. Multimedia 1, 321–333 (1999)CrossRefGoogle Scholar
  2. 2.
    Gargi, U., Kasturi, R., Strayer, S.H.: Performance Characterization of Video-Shot-Change Detection Methods. IEEE Trans. Circuits Syst. Video Technol. 10, 1–13 (2000)CrossRefGoogle Scholar
  3. 3.
    Yeo, B.-L., Liu, B.: Rapid Scene Analysis on Compressed Video. IEEE Trans. Circuits Syst. Video Technol. 5, 533–544 (1995)CrossRefGoogle Scholar
  4. 4.
    Heng, W.J., Ngan, K.N.: Long transition analysis for digital video sequences. Circuits Syst. Signal Process 20, 113–141 (2001)MATHCrossRefGoogle Scholar
  5. 5.
    Bescos, J.: Real-Time Shot Change Detection Over Online MPEG-2 Video. IEEE Trans. Circuits Syst. Video Technol 14, 475–484 (2004)CrossRefGoogle Scholar
  6. 6.
    Lienhart, R., Zaccarin, A.: A System for Reliable Dissolve Detection in Videos. In: Proc. Int. Conf. Image Proc., pp. 406–409 (2001)Google Scholar
  7. 7.
    Patel, N.V., Sethi, I.K.: Video shot detection and characterization for video databases. Pattern Recognit (Special Issue on Multimedia) 30, 583–592 (1997)Google Scholar
  8. 8.
    Akutsu, A., Tonomura, Y., Hashimoto, H., Ohba, Y.: Video indexing using motion vectors. In: Proc SPIE (Visual Commun Image Process), vol. 1818, pp. 1522–1530 (1992)Google Scholar
  9. 9.
    Xiong, W., Lee, J.C.-M.: Efficient scene change detection and camera motion annotation for video classification. Comput. Vis. Image Underst. 71, 166–181 (1998)CrossRefGoogle Scholar
  10. 10.
    Bouthemy, P., Gelgon, M., Ganansia, F.: A unified approach to shot change detection and camera motion characterization. IEEE Trans. Circuits Syst. Video Technol. 9, 1030–1044 (1999)CrossRefGoogle Scholar
  11. 11.
    Milanese, R., Deguillaume, F., Jacot-Descombes, A.: Efficient segmentation and camera motion indexing of compressed video. Real-Time Imaging 5, 231–241 (1999)CrossRefGoogle Scholar
  12. 12.
    Maeda, J.: Method for extracting camera operations to describe sub-scenes in video sequences. In: Proceedings of IS&T/SPIE conference on digital video compression on personal computers: algorithm and technologies, San Jose, vol. 2187, pp. 56–67 (1994)Google Scholar
  13. 13.
    Ardizzone, E., La Cascia, M., Avanzato, A., Bruna, A.: Video indexing using MPEG motion compensation vectors. In: Proc. IEEE Int. Conf. Multimedia Comp. Syst., pp. 725–729 (1999)Google Scholar
  14. 14.
    Astola, J., Haavisto, P., Neuvo, Y.: Vector median filters. Proc. IEEE 78, 678–689 (1990)CrossRefGoogle Scholar
  15. 15.
    Sammon Jr., J.W.: A nonlinear mapping for data structure analysis. IEEE Trans. Comput. C-18, 401–409 (1969)CrossRefGoogle Scholar
  16. 16.

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Giovanni Tardini
    • 1
  • Costantino Grana
    • 1
  • Rossano Marchi
    • 1
  • Rita Cucchiara
    • 1
  1. 1.Department of Information EngineeringUniversity of Modena and Reggio EmiliaModenaItaly

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