Hierarchical event selection for video storyboards with a case study on snooker video visualization

IEEE Transactions on Visualization and Computer Graphics

Volumn 17, Issue 12, 2011, Pages 1747-1756

  Parry, Matthew L ^a   Legg, Philip A ^a   Chung, David H S ^a   Griffiths, Iwan W ^a   Chen, Min ^a  

^a SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Illustrative visualization; Multimedia visualization; Time series data

Indexed keywords

3D RECONSTRUCTION; 3D VISUALIZATION; APPLICATION SPECIFIC; EVENT CLASSIFICATION; EVENT DETECTION; EVENT SELECTION; ILLUSTRATIVE VISUALIZATION; MAJOR EVENTS; MULTIMEDIA VISUALIZATION; OTHER APPLICATIONS; SELECTION ALGORITHM; TECHNICAL CHALLENGES; TIME SERIES DATA; TIME WINDOWS; VIDEO VISUALIZATION;

ALGORITHMS; IMAGE RETRIEVAL; SEMANTICS; THREE DIMENSIONAL; TIME SERIES; VISUALIZATION;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 80855139127     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2011.208     Document Type: Article

References (29)

1. J. Assa, Y. Caspi, and D. Cohen-Or. Action synopsis: pose selection and illustration. ACM Transactions on Graphics, 24(3):667-676, 2005.
2. R. Borgo, M. Chen, B. Daubney, E. Grundy, H. J̈anicke, G. Heidemann, B. Ḧoferlin, M. Ḧoferlin, D. Weiskopf, and X. Xie. A survey on videobased graphics and video visualization. Eurographics (State of the Art Reports), Llandudno, UK, pages 1-23, 2011.
3. M. Chen, R. P. Botchen, R. R. Hashim, D. Weiskopf, T. Ertl, and I. M. Thornton. Visual signatures in video visualization. IEEE Transactions on Visualization and Computer Graphics, 12(5):1093-1100, 2006. (Pubitemid 44955642)
4. G. W. Daniel and M. Chen. Video visualization. In Proc. IEEE Visualization 2003, Seattle, WA, pages 409-416, October 2003.
5. H. Denman, N. Rea, and A. Kokaram. Content based analysis for video from snooker broadcasts. Image and Video Retrieval, 2383:198-205, 2002.
6. R. D. Dony, J. W. Mateer, and J. A. Robinson. Techniques for automated reverse storyboarding. IEE Journal of Vision, Image and Signal Processing, 152(4):425-436, 2005. (Pubitemid 41229593)
7. C. Everton. Snooker and Billiards: Techniques, Tactics and Training (Crowood Sports Guides). The Crowood Press, 1991.
8. P. Gatalsky, N. Andrienko, and G. Andrienko. Interative analysis of event data using space-time cube. In 8th International Conference on Information Visualisation, pages 145-152, 2004.
9. D. B. Goldman, B. Curless, D. Salesin, and S. M. Seitz. Schematic storyboarding for video visualization and editing. ACM Transactions on Graphics, 25(3):862-871, 2006. (Pubitemid 44481048)
10. H. Guo and B. M. Namee. Using computer vision to create a 3d representation of a snooker table for televised competition broadcasting. In Proceedings of the 18th Irish Conference on Artifical Intelligence and Cognitive Science, pages 220-229, 2007.
11. M. Ḧoferlin, E. Grundy, R. Borgo, D.Weiskopf, M. Chen, I.W. Griffiths, andW. Griffiths. Video visualization for snooker skill training. Computer Graphics Forum, 29(3):1053-1062, 2010.
12. W. Hu, T. Tan, L.Wang, and S. Maybank. A survey on visual surveillance of object motion and behaviors. IEEE transactions on systems, man and cybernetics-Part C: Applications and reviews, 34(3):334-352, 2004.
13. T. Kapler andW. Wright. Geotime information visualization. In INFOVIS '04 Proceedings of the IEEE symposium on Information Visualization, pages 25-32, 2004. (Pubitemid 40449124)
14. D. E. Knuth, J. H. Morris, and V. R. Pratt. Fast pattern matching in strings. SIAM Journal on Computing, 6(2):323-350, 1977.
15. P. A. Legg, M. L. Parry, D. H. S. Chung, R. M. Jiang, A. Morris, I. W. Griffiths, D. Marshall, and M. Chen. Intelligent filtering by semantic importance for single-view 3D reconstruction from snooker video. To appear in 18th International Conference on Image Processing (ICIP), Brussel, Belgium, 2011.
16. B. Li and M. I. Sezan. Event detection and summarization in sports video. In Content-Based Access of Image and Video Libraries, 2001. (CBAIVL 2001). IEEE Workshop on, pages 132-138, 2001.
17. G. Medioni, I. Cohen, F. Bremond, S. Hongeng, and R. Nevatia. Event detection and analysis from video streams. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(8):873-889, 2001. (Pubitemid 32780014)
18. H. Pan, P. van Beek, and M. I. Sezan. Detection of slow-motion replay segments in sports video for highlights generation. In Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on, volume 3, pages 1649-1652, 2001. (Pubitemid 32838917)
19. N. Rea, R. Dahyot, and A. Kokaram. Modelling high level structure in sports with motion driven HMMS. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '04), pages 621-624, 2004.
20. M. Romero, J. Summet, J. Stasko, and G. Abowd. Viz-a-vis: Towards visualizing video through computer vision. IEEE Transactions on Visualization and Computer Graphics, 14(6):1261-1268, 2008.
21. D. A. Sadlier and N. E. O'Connor. Event detection in field sports video using audio-visual features and a support vector machine. Circuits and Systems for Video Technology, IEEE Transactions on, 15(10):1225-1233, 2005. (Pubitemid 41640560)
22. W. Shen and L. Wu. A method of billiard objects detection based on snooker game video. In International Conference on Future Computer and Communication (ICFCC), 2010.
23. C. S. Smith. Activities: States or events? Linguistics and Philosophy, 22(5):479-508, 1999.
24. Y. Takahashi, N. Nitta, and N. Babaguchi. Video summarization for large sports video archives. In IEEE International Conference on Multimedia and Expo, pages 1170-1173, 2005. (Pubitemid 44669079)
25. Y. Wang, D. M. Krum, E. M. Coelho, and D. A. Bowman. Contextualized videos: Combining videos with environment models to support situational understanding. IEEE Transactions on Visualization and Computer Graphics, 13(6):1568-1575, 2007. (Pubitemid 350076634)
26. C. Ware. Information Visualization: Perception for Design. Morgan Kaufmann, 2000.
27. B.-L. Yeo and M. Yeung. Retrieving and visualizing video. Communications of the ACM, 40(12):43-52, 1997.
28. L. Yu, A. Lu, W. Ribarsky, and W. Chen. Automatic animation for timevarying data visualization. Computer Graphics Forum, 29(7):2271-2280, 2010.
29. L. Zelnik-Manor and M. Irani. Event-based analysis of video. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, volume 2, pages 123-130, 2001.