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Baseball video indexing using patternization of scenes and hidden Markov model

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3 Author(s)
Mochizuki, T. ; Sci. & Tech. Res. Lab., NHK, Tokyo, Japan ; Tadenuma, M. ; Yagi, N.

This paper proposes a method to automatically set indexes which describe the content of a baseball video scene. The approach is based on the technique to patternize baseball scenes using a set of rectangles with some image features and a motion vector. Each baseball scene is expressed as a sequence of symbols based on the patternized data of every shot and given "event-indexes" (home-run, single-hit, walk, etc.) using hidden Markov models which have been trained to the sequences. The processes to construct training data and to set event-indexes to baseball scenes are described in detail. The proposed method is evaluated by an experiment using seven major league baseball video games.

Published in:

Image Processing, 2005. ICIP 2005. IEEE International Conference on  (Volume:3 )

Date of Conference:

11-14 Sept. 2005