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2005 IEEE International Conference on Multimedia and Expo
Automatic parsing of American football videos by intermodal collaboration based on transition rules
Amsterdam, Netherlands
July 06-July 06
ISBN: 0-7803-9331-7
N. Nitta, Dept. of Commun. Eng., Osaka Univ., Japan
N. Babaguchi, Dept. of Commun. Eng., Osaka Univ., Japan
This paper proposes an automatic American football video parsing method based on transition rules of an American football game. Combining the results of live scene extraction and superimposed text detection based on image features enables us to segment the video into play units of a game. Temporally associating the segmented play units with the detected superimposed texts and the closed-caption text attaches possible semantic content information to the play units. Finally, selecting only the play units which conform to transition rules of the sports game from the obtained play unit sequence, while discarding or complementing unnecessary or insufficient play units and attached semantic content information, realizes the semantic video parsing.
Index Terms:
transition rule, automatic parsing method, American football video, live scene extraction, superimposed text detection, image feature, video segmentation, semantic content information, intermodal collaboration
Citation:
N. Nitta, N. Babaguchi, "Automatic parsing of American football videos by intermodal collaboration based on transition rules," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005
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