Presentation 2005-06-16
Baseball Video Indexing Using Patternization of Scenes and Hidden Markov Model
Takahiro MOCHIZUKI, Makoto TADENUMA, Nobuyuki YAGI,
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Abstract(in English) This paper proposes a method to automatically set indexes which describe the content of a baseball video scene using the patternization of scenes and Hidden Markov Model(HMM). As the first step in training process, we patternize every shot in scenes, and express each scene in all videos for training with a seqnence of "patternized data". A patternized data is composed of rectangles with positions of their apexes, some image features and a motion vector. The patternization process is carried out based on moving information of tracking points on frame pictures and image features in the small region around these points. Next, each baseball scene in all videos for training is expressed as a sequence of symbols based on the patternized data of every shot and sort it into "event-indexes" (home-run, single-hit, walk, etc.). And the parameters in HMMs of every event-index are set by training symbol sequences distinguished by their length. Event-unknown scenes are given a event-index using HMM which have been trained. This indexing process is executed based on the patternization of every shot as the training. The proposed method is evaluated by an experiment using seven Major League Baseball video games.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) patternization / indexing / event / Hidden Markov Model
Paper # DE2005-7,PRMU2005-28
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Conference Information
Committee PRMU
Conference Date 2005/6/9(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Baseball Video Indexing Using Patternization of Scenes and Hidden Markov Model
Sub Title (in English)
Keyword(1) patternization
Keyword(2) indexing
Keyword(3) event
Keyword(4) Hidden Markov Model
1st Author's Name Takahiro MOCHIZUKI
1st Author's Affiliation Science and Technical Research Laboratories, NHK (Japan Broadcasting Corporation)()
2nd Author's Name Makoto TADENUMA
2nd Author's Affiliation Science and Technical Research Laboratories, NHK (Japan Broadcasting Corporation)
3rd Author's Name Nobuyuki YAGI
3rd Author's Affiliation Science and Technical Research Laboratories, NHK (Japan Broadcasting Corporation)
Date 2005-06-16
Paper # DE2005-7,PRMU2005-28
Volume (vol) vol.105
Number (no) 118
Page pp.pp.-
#Pages 6
Date of Issue