Event detection and summarization in American football broadcast video

Baoxin Li; M. Ibrahim Sezan

doi:10.1117/12.451092

19 December 2001 Event detection and summarization in American football broadcast video

Baoxin Li, M. Ibrahim Sezan

Proceedings Volume 4676, Storage and Retrieval for Media Databases 2002; (2001) https://doi.org/10.1117/12.451092
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

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.

Citation Download Citation

Baoxin Li and M. Ibrahim Sezan "Event detection and summarization in American football broadcast video", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); https://doi.org/10.1117/12.451092

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