Automatic annotation of tennis video sequences

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2449 LNCS, Issue , 2002, Pages 540-547

  Calvo, Corrado ^a   Micarelli, Alessandro ^a   Sangineto, Enver ^a  

^a ROMA TRE UNIVERSITY   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

HOUGH TRANSFORMS; SPORTS; VIDEO RECORDING;

AUTOMATIC ANNOTATION; COMPLETE SYSTEM; COMPUTATIONALLY EFFICIENT; EDGE PIXELS; SYSTEM EFFICIENCY; TENNIS VIDEOS;

PATTERN RECOGNITION;

EID: 84867184341     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45783-6_65     Document Type: Conference Paper

References (5)

1. Ballard and Brown, Computer Vision, Prentice Hall, 1982.
2. H. Miyamori and S. Iisaku, Video Annotation for Content-based retreival using Human Behaviour Analisys and Domain Knowledge, Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000.
3. G.S. Pingali, Y.J. and I. Carlbom, Real-time tracking for enhanced tennis broadcasts, Visual Communication Research Department, Bell Laboratories, Lucent Technologies, Murray Hill, NJ 07974.
4. G. Sudhir, J.C.M. Lee and A.K. Jain, Automatic classification of tennis video for high-level content-based retreival, Proc. of the 1998 Int. Workshop on Content-based Access of Image and Video Databases, January 3, 1998, Bombay, India.
5. D. Zhong and S.H. Chang, Structure parsing and event detection for sports video, Dep. of Electrical Engineering, Columbia University - Technical report, December 27, 2000, USA.