Highlight detection and classification of baseball game video with Hidden Markov Models

Peng Chang, Mei Han, and Yihong Gong
Proceedings of the International Conference on Image Processing (ICIP '02), 2002.


Download
  • Adobe portable document format (pdf) (392KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion is continuous. Our approach is based on the observations that 1) most highlights in baseball games are composed of certain types of scene shots and 2) those scene shots exhibit special transition context in time. To exploit those two observations, we first build statistical models for each type of scene shots with products of histograms, and then for each type of highlight a hidden Markov model is learned to represent the context of transition in time domain. A probabilistic model can be obtained by combining the two, which is used for highlight detection and classification. Satisfactory results have been achieved on initial experimental results.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference
Peng Chang, Mei Han, and Yihong Gong, "Highlight detection and classification of baseball game video with Hidden Markov Models," Proceedings of the International Conference on Image Processing (ICIP '02), 2002.

BibTeX Reference
@inproceedings{Chang_2002_4047,
   author = "Peng Chang and Mei Han and Yihong Gong",
   title = "Highlight detection and classification of baseball game video with Hidden Markov Models",
   booktitle = "Proceedings of the International Conference on Image Processing (ICIP '02)",
   year = "2002",
}