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
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;
Conference_Titel :
Future Computer Science and Education (ICFCSE), 2011 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-1562-4
DOI :
10.1109/ICFCSE.2011.48
