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