Event Detection and Summarization in Sports Video

  • Authors:

  • Baoxin Li;M. Ibrahim Sezan

  • Affiliations:

  • -;-

  • Venue:
  • CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
  • Year:
  • 2001

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Abstract

We propose a general framework for event detection and summary generate on in broadcast sports video. Under this framework, important events in a class of sports are modeled by "plays", defined according to the semantics of the particular sport and the conventional broadcasting patterns. We propose both deterministic and probabilistic approaches for the detect on of the plays. The detected plays are concatenated to generate a compact, time-compressed summary of the original video. Such a summary is complete in the sense that it contains every meaningful act on of the underlying game, and it also servers as a much better starting point for higher-level summarization and/or analysis than the original videodoes. We provide experimental results on American football, baseball, and sumo wrestling.