DocumentCode
1676766
Title
Sport Video Intelligence Analysis Using Mid-Level and Low-Level Vision Information
Author
Ping, Qu ; Weitao, Zheng
Author_Institution
Educ. Sch., Phys. Educ. Dept., Sun Yat-Sen Univ., Guangzhou, China
fYear
2011
Firstpage
165
Lastpage
168
Abstract
Because of large audiences, great business prospects and potential applications, sports video has attracted academic and industry attention. From the low-level feature extraction and mid-level key primitive generation, we preliminary success the shot classification, object recognition and tracking.
Keywords
computer vision; feature extraction; image classification; object recognition; sport; video signal processing; business prospects; feature extraction; low-level vision information; mid-level vision information; object recognition; object tracking; shot classification; sport video intelligence analysis; Feature extraction; Image color analysis; Semantics; Shape; Streaming media; Trajectory; Visualization; event detection; feature extraction; shot classification; sports video analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer Science and Education (ICFCSE), 2011 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4577-1562-4
Type
conf
DOI
10.1109/ICFCSE.2011.48
Filename
6041635
Link To Document