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)


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.


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.


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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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