DocumentCode :
2241498
Title :
Combining Caption and Visual Features for Semantic Event Classification of Baseball Video
Author :
Lie, Wen-Nung ; Shia, Sheng-Hsiung
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Ming-Hsiung
fYear :
2005
fDate :
6-6 July 2005
Firstpage :
1254
Lastpage :
1257
Abstract :
In baseball game, an event is defined as the portion of video clip between two pitches, and a play is defined as a batter finishing his plate appearance. A play is a concatenation of many events, and a baseball game is formed by a series of plays. In this paper, only the event happened in the last pitch of a plate appearance is detected. It is then semantically classified to represent the corresponding play by using an algorithm integrating caption rule-inference and visual feature analysis. Our proposed system is capable of classifying each baseball play into eleven semantic categories, which are popular and familiar to most of the audiences. In an experiment of 260 testing plays, the classification rate achieves up to 87%
Keywords :
computer games; feature extraction; image classification; inference mechanisms; video signal processing; baseball video game; caption rule-inference; semantic category; semantic event classification; visual feature analysis; Algorithm design and analysis; Cameras; Content management; Event detection; Finishing; Games; Kernel; Object detection; Testing; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-9331-7
Type :
conf
DOI :
10.1109/ICME.2005.1521656
Filename :
1521656
Link To Document :
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