Shot detection and motion analysis for automatic MPEG-7 annotation of sports videos

  • Authors:
  • Giovanni Tardini;Costantino Grana;Rossano Marchi;Rita Cucchiara

  • Affiliations:
  • Department of Information Engineering, University of Modena and Reggio Emilia, Modena, Italy;Department of Information Engineering, University of Modena and Reggio Emilia, Modena, Italy;Department of Information Engineering, University of Modena and Reggio Emilia, Modena, Italy;Department of Information Engineering, University of Modena and Reggio Emilia, Modena, Italy

  • Venue:
  • ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
  • Year:
  • 2005

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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.