Table of Contents
ISRN Machine Vision
Volume 2012 (2012), Article ID 959508, 8 pages
http://dx.doi.org/10.5402/2012/959508
Research Article

An Effective Slow-Motion Detection Approach for Compressed Soccer Videos

Machine Vision Laboratory, Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad 9177948944, Iran

Received 21 December 2011; Accepted 15 January 2012

Academic Editors: M. Pardàs and A. Prati

Copyright © 2012 Vahid Kiani and Hamid Reza Pourreza. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Q. Huang, J. Hu, W. Hu, T. Wang, H. Bai, and Y. Zhang, “A reliable logo and replay detector for sports video,” in Proceedings of the IEEE International Conference on Multimedia and Expo (ICME '07), pp. 1695–1698, July 2007. View at Scopus
  2. Z. Dang, J. Du, Q. Huang, and S. Jiang, “Replay detection based on semi-automatic logo template sequence extraction in sports video,” in Proceedings of the ICME 4th International Conference on Image and Graphics (ICIG '07), pp. 839–844, August 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. Z. Zhao, J. Shuqiang, H. Qingming, and Z. Guangyu, “Highlight summarization in sports video based on replay detection,” in Proceedings of the IEEE International Conference on Multimedia and Expo (ICME '06), pp. 1613–1616, July 2006. View at Publisher · View at Google Scholar · View at Scopus
  4. E. J. Farn, L. H. Chen, and J. H. Liou, “A new slow-motion replay extractor for soccer game videos,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 17, no. 8, pp. 1467–1481, 2003. View at Publisher · View at Google Scholar · View at Scopus
  5. Y. Q. Yang, W. Gu, and Y. D. Lu, “An improved slow-motion detection approach for soccer video,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC '05), pp. 4593–4598, August 2005. View at Scopus
  6. A. Ekin, A. M. Tekalp, and R. Mehrotra, “Automatic soccer video analysis and summarization,” IEEE Transactions on Image Processing, vol. 12, no. 7, pp. 796–807, 2003. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  7. W.-H. Chuang, D.-Y. Hsiao, S.-C. Pei, and H. Chen, “A rapid scheme for slow-motion replay segment detection,” in Proceedings of the 5th Pacific Rim Conference on Multimedia, vol. 3331 of Lecture Notes in Computer Science, pp. 239–246, 2004.
  8. V. Kobla, D. DeMenthon, and D. Doermann, “Identifying sports videos using replay, text, and camera motion features,” in Storage and Retrieval for Media Database, vol. 3972 of Proceedings of SPIE, pp. 332–343, 2000.
  9. V. Kobla, D. DeMenthon, and D. Doermann, “Detection of slow-motion replay sequences for identifying sports videos,” in Proceedings of the IEEE 3rd Workshop on Multimedia Signal Processing, pp. 135–140, 1999.
  10. H. Pan, P. Van Beek, and M. I. Sezan, “Detection of slow-motion replay segments in sports video for highlights generation,” in Proceedings of the IEEE Interntional Conference on Acoustics, Speech, and Signal Processing, pp. 1649–1652, May 2001. View at Scopus
  11. B. Han, Y. Yan, Z. Chen, C. Liu, and W. Wu, “A general framework for automatic on-line replay detection in sports video,” in Proceedings of the 17th ACM International Conference on Multimedia (MM '09), pp. 501–504, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. L. Wang, X. Liu, S. Lin, G. Xu, and H. Y. Shum, “Generic slow-motion replay detection in sports video,” in Proceedings of the International Conference on Image Processing (ICIP '04), pp. 1585–1588, October 2004. View at Scopus
  13. Y. Yang, S. Lin, Y. Zhang, and S. Tang, “A statistical framework for replay detection in soccer video,” in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS '08), pp. 3538–3541, May 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. J. Wang, E. Chng, and C. Xu, “Soccer replay detection using scene transition structure analysis,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '05), pp. 433–436, March 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. C. Lang, D. Xu, and Y. Jiang, “Shot type classification in sports video based on visual attention,” in Proceedings of the International Conference on Computational Intelligence and Natural Computing (CINC '09), pp. 336–339, June 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. N. Zhenxing, G. Xinbo, T. Dacheng, and L. Xuelong, “Semantic video shot segmentation based on color ratio feature and SVM,” in Proceedings of the International Conference on Cyberworlds (CW '08), pp. 157–162, September 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. Y. H. Zhou, Y. D. Cao, L. F. Zhang, and H. X. Zhang, “An SVM-based soccer video shot classification,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC '05), vol. 9, pp. 5398–5403, August 2005. View at Scopus
  18. B. Han, Y. Hu, G. Wang, W. Wu, and T. Yoshigahara, “Enhanced sports video shot boundary detection based on middle level features and a unified model,” IEEE Transactions on Consumer Electronics, vol. 53, no. 3, pp. 1168–1176, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. U. Srinivasan, S. Pfeiffer, S. Nepal, M. Lee, L. Gu, and S. Barrass, “A survey of MPEG-1 audio, video and semantic analysis techniques,” Multimedia Tools and Applications, vol. 27, no. 1, pp. 105–141, 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. J. L. Mitchell, W. B. Pennebaker, C. E. Fogg, and D. J. LeGall, “MPEG-1 video syntax,” in MPEG Video Compression Standard, pp. 1–470, Kluwer Academic Publishers, 1st edition, 2002. View at Google Scholar
  21. H. S. Wong, H. H. S. Ip, L. P. L. Iu, K. K. T. Cheung, and L. Guan, “Transformation of compressed domain features for content-based image indexing and retrieval,” Multimedia Tools and Applications, vol. 26, no. 1, pp. 5–26, 2005. View at Publisher · View at Google Scholar · View at Scopus
  22. Z. L. Tao, X. L. Huang, and X. Wang, “Shot boundary detection based on macroblock and DC image,” in Proceedings of the International Conference on Management and Service Science (MASS '09), pp. 1–3, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  23. X. Wang, S. Wang, and H. Chen, “An effective soccer video shot detection algorithm,” in Proceedings of the International Conference on Computer Science and Software Engineering (CSSE '08), pp. 214–217, December 2008. View at Scopus
  24. K. Hoashi, M. Sugano, M. Naito, K. Matsumoto, F. Sugaya, and Y. Nakajima, “Shot boundary determination on MPEG compressed domain and story segmentation experiments for TRECVID 2003,” in Proceedings of the TREC Video Retrieval Evaluation (TRECVID '04), 2004.
  25. C. Grana and R. Cucchiara, “Linear transition detection as a unified shot detection approach,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 4, pp. 483–489, 2007. View at Publisher · View at Google Scholar · View at Scopus
  26. V. Kiani and H. R. Pourreza, “Robust GME in encoded MPEG video,” in Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia Processing (MoMM '11), pp. 147–154, 2011.
  27. M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman, “Semantic concept mining based on hierarchical event detection for soccer video indexing,” Journal of Multimedia, vol. 4, no. 5, pp. 298–312, 2009. View at Google Scholar