Event detection and summarization in American football broadcast video

Baoxin Li, Ibrahim Sezan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

55 Scopus citations


We propose a framework for event detection and summary generation in football broadcast video. First, we formulate summarization as a play detection problem, with play being defined as the most basic segment of time during which the ball is being played. Then we propose both deterministic and probabilistic approaches to the detection 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 action of the underlying game, and it also servers as a much better starting point for higher-level summarization and other analyses than the original video does. Based on the summary, we also propose an audio-based hierarchical summarization method. Experimental results show the proposed methods work very well on consumer grade platforms.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsM.M. Yeung, C.S. Li, R.W. Lienhart
Number of pages12
StatePublished - 2002
Externally publishedYes
EventStorage and Retrieval for Media Databases 2002 - San Jose, CA, United States
Duration: Jan 23 2002Jan 25 2002


OtherStorage and Retrieval for Media Databases 2002
Country/TerritoryUnited States
CitySan Jose, CA


  • Event detection
  • Video summarization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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