DocumentCode :
2466622
Title :
Automatic sports classification
Author :
Messer, Kieron ; Christmas, William ; Kittler, Josef
Author_Institution :
Surrey Univ., Guildford, UK
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
1005
Abstract :
ASSAVID is an EU sponsored project which is concerned with the development of a system for the automatic segmentation and semantic annotation of sports video. We describe the method which automatically classifies unknown sports video into the type of sport being played. This is an important task if a fully automatic sports video logging process is to be realised. The proposed technique relies upon the concept of "cues" which attach semantic meaning to low-level features computed on the video. Experimental results on sports video provided by the BBC demonstrate that this method is working well.
Keywords :
image classification; image segmentation; sport; video databases; ASSAVID; EU sponsored project; automatic sports classification; cues; experimental results; image segmentation; semantic annotation; semantic meaning; sports video; sports video logging process; video database; Broadcasting; Computer vision; Databases; Engines; Feeds; Information analysis; Layout; Multimedia communication; Production systems; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048475
Filename :
1048475
Link To Document :
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