Views Detection from Cricket Video using Low Level Features

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Published Jul 1, 2017
https://doi.org/10.47164/ijngc.v8i2.128
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Volume 8, Issue 2, July 2017

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Hetal Chudasama
Assistant Professor, MBICT, New VVNagar., Gujarat
N. M. Patel
Associate Professor, BVM, VVNagar., Gujarat

Abstract

Detection of various views from the cricket video is a fundamental and useful step in cricket video summarization. In this paper, we propose an approach to detect various views from the cricket video. Detected views are Ground view, Pitch view, Boundary view, Close-Up view, Crowd view, Fielders gathering view and Sky view. Detection of specific view requires extraction of appropriate lower level features from the frame. Result analysis shows the accuracy of various algorithms used for view detection.

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Chudasama, H., & Patel, N. M. (2017). Views Detection from Cricket Video using Low Level Features. International Journal of Next-Generation Computing, 8(2), 140–152. https://doi.org/10.47164/ijngc.v8i2.128
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References

  1. Baillie, M. and Jose, J. M. 2003. Audio-based event detection for sports video. In CIVR. Vol. 2003. Springer, 300-310.
  2. Chen, H.-S. and Tsai, W.-J. 2014. A framework for video event classi cation by modeling temporal context of multimodal features using hmm. Journal of Visual Communication and Image Representation 25, 2, 285-295.
  3. Chu, W.-T. and Chou, Y.-C. 2015. Event detection and highlight detection of broadcasted game videos. In Proceedings of the 2nd Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication. ACM, 1-8.
  4. Ekin, A., Tekalp, A. M., and Mehrotra, R. 2003. Automatic soccer video analysis and summarization. IEEE Transactions on Image processing 12, 7, 796-807.
  5. Harikrishna, N., Satheesh, S., Sriram, S. D., and Easwarakumar, K. 2011. Temporal classi cation of events in cricket videos. In Communications (NCC), 2011 National Conference on. IEEE, 1-5.
  6. Jayanth, S. B. and Srinivasa, G. 2014. Automated classi cation of cricket pitch frames in cricket video. ELCVIA Electronic Letters on Computer Vision and Image Analysis 13, 1.
  7. Kapela, R., McGuinness, K., and OConnor, N. E. 2014. Real-time eld sports scene classi cation using colour and frequency space decompositions. Journal of Real-Time Image Processing, 1-13.
  8. Kokaram, A., Rea, N., Dahyot, R., Tekalp, M., Bouthemy, P., Gros, P., and Sezan, I. 2006. Browsing sports video: trends in sports-related indexing and retrieval work. IEEE Signal Processing Magazine 23, 2, 47-58.
  9. Kolekar, M. H., Palaniappan, K., and Sengupta, S. 2008. Semantic event detection and classi cation in cricket video sequence. In Computer Vision, Graphics & Image Processing, 2008. ICVGIP'08. Sixth Indian Conference on. IEEE, 382-389.
  10. Kumar, P. and Puttaswamy, P. 2015. The extraction of events and replay in cricket video. In Emerging Research in Electronics, Computer Science and Technology (ICERECT), 2015 International Conference on. IEEE, 54-58.
  11. Money, A. G. and Agius, H. 2008. Video summarisation: A conceptual framework and survey of the state of the art. Journal of Visual Communication and Image Representation 19, 2, 121-143.
  12. Pallavi, V., Mukherjee, J., Majumdar, A. K., and Sural, S. 2008. Ball detection from broadcast soccer videos using static and dynamic features. Journal of Visual Communication and Image Representation 19, 7, 426-436.
  13. Pradeep, K. 2013. Signi cant event detection in sports video using audio cues. International Journal of Innovations in Engineering and Technology (IJIET) 3, 1.
  14. Pramod Sankar, K., Pandey, S., and Jawahar, C. 2006. Text driven temporal segmentation of cricket videos. Computer Vision, Graphics and Image Processing, 433-444.
  15. Raventos, A., Quijada, R., Torres, L., and Tarres, F. 2015. Automatic summarization of soccer highlights using audio-visual descriptors. SpringerPlus 4, 1, 301.
  16. Rui, Y., Gupta, A., and Acero, A. 2000. Automatically extracting highlights for tv baseball programs. In Proceedings of the eighth ACM international conference on Multimedia. ACM, 105-115.
  17. Sigari, M.-H., Soltanianzadeh, H., and Pourreza, H. R. 2015. Fast highlight detection and scoring for broadcast soccer video summarization using on-demand feature extraction and fuzzy inference. International Journal of Computer Graphics 6.
  18. Su, P.-C., Lan, C.-H., Wu, C.-S., Zeng, Z.-X., and Chen, W.-Y. 2013. Transition e ect detection for extracting highlights in baseball videos. EURASIP Journal on Image and Video Processing 2013, 1, 27.
  19. Tang, H., Kwatra, V., Sargin, M. E., and Gargi, U. 2011. Detecting highlights in sports videos: Cricket as a test case. In Multimedia and Expo (ICME), 2011 IEEE International Conference on. IEEE, 1-6.
  20. Tien, M.-C., Wang, Y.-T., Chou, C.-W., Hsieh, K.-Y., Chu, W.-T., and Wu, J.-L. 2008. Event detection in tennis matches based on video data mining. In Multimedia and Expo, 2008 IEEE International Conference on. IEEE, 1477-1480.
  21. Vijayakumar, V. 2012. Event detection in cricket video based on visual and acoustic features. Journal of Global Research in Computer Science 3, 8, 26-29.
  22. W, L. C. 2011. Baseball game highlight and event detection. Visual Communications and Image Processing, 1-4.
  23. Zhang, S. 2015. Research on e ective eld lines detection and tracking algorithm in soccer videos. International Journal of Multimedia and Ubiquitous Engineering 10, 7, 75-84.
  24. Zhong, D. and Chang, S.-F. 2001. Structure analysis of sports video using domain models. In IEEE ICME. Citeseer.
  25. Zhong, D. and Chang, S.-F. 2004. Real-time view recognition and event detection for sports video. Journal of Visual Communication and Image Representation 15, 3, 330-347.