DocumentCode :
394493
Title :
A general framework for sports video summarization with its application to soccer
Author :
Li, Baoxin ; Pan, Hao ; Sezan, Ibrahim
Author_Institution :
Sharp Labs. of America, Camas, WA, USA
Volume :
3
fYear :
2003
fDate :
6-10 April 2003
Abstract :
We propose a general framework for indexing and summarizing sports broadcast programs and its specific application to soccer. The framework is based on a high-level model of sports broadcast video using the concept of an event, defined according to domain-specific knowledge for different types of sports. Thus it covers most sports including those that have the action-and-stop pattern (e.g., baseball) and those containing continuous actions (e.g., soccer). In particular, within this general framework, using soccer as an example, we propose a novel approach to automatic event detection, which is based on automatic analysis of the visual and aural signals in the media. An MPEG-7 compliant prototype browsing system has been implemented to demonstrate the results.
Keywords :
database indexing; online front-ends; sport; television broadcasting; video databases; video signal processing; MPEG-7 compliant prototype browsing system; action-and-stop pattern; audio-visual data; aural signals; automatic analysis; automatic event detection; baseball; domain-specific knowledge; high-level model; indexing; soccer; sports broadcast programs; sports broadcast video; sports video summarization; visual signals; Broadcasting; Event detection; Games; High definition video; Indexing; Laboratories; MPEG 7 Standard; Multimedia communication; Prototypes; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1199134
Filename :
1199134
Link To Document :
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