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A Novel Interaction Protocol of a Multiagent System for the Study of Alternative Decisions Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Improved Method of Detecting Replay Logo in Sports Videos Based on Contrast Feature and Histogram Difference

Authors : Kazimierz Choroś, Adam Gogol

Published in: Computational Collective Intelligence

Publisher: Springer International Publishing

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Abstract

Sports videos are probably the most popular videos and the most frequently searched in the Web. Similarly to text documents for which abstracts can be automatically generated we need to automatically summarize the long videos presenting for example the whole soccer matches. The obvious solution to summarize a sports video is to detect and to extract replay segments as highlights which usually present the most interesting and exciting parts of a video containing important players and actions. Replays can be detected if replay shots are separated by special logo animations or replays are in slow motion. One of the automatic method of logo transition detection is a method based on contrast feature and histogram difference. The paper presents the improved method of replay logo detection and the results of the tests demonstrating the benefits of the proposed improvements.

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Literature
1.
Hu, W., Xie, N., Li, L., Zeng, X., Maybank, S.: A survey on visual content-based video indexing and retrieval. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 41(6), 797–819 (2011)CrossRef
2.
Schoeffmann, K., Hudelist, M.A., Huber, J.: Video interaction tools: a survey of recent work. ACM Comput. Surv. (CSUR) 48(1), 1–34 (2015). Article no. 14CrossRef
3.
Choroś, K.: Video structure analysis for content-based indexing and categorisation of TV sports news. Int. J. Intell. Inf. Database Syst. 6(5), 451–465 (2012)
4.
Gu, L., Bone, D., Reynolds, G.: Replay detection in sports video sequences. In: Correia, N., Chambel, T., Davenport, G. (eds.) Multimedia 1999, Proceedings of the Eurographics Workshop in Milano, pp. 3–12. Springer, Vienna (2000)
5.
Ajmal, M., Ashraf, M.H., Shakir, M., Abbas, Y., Shah, F.A.: Video summarization: techniques and classification. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2012. LNCS, vol. 7594, pp. 1–13. Springer, Heidelberg (2012)CrossRef
6.
Ekin, A., Tekalp, A.M., Mehrotra, R.: Automatic soccer video analysis and summarization. IEEE Trans. Image Process. 12(7), 796–807 (2003). IEEECrossRef
7.
Zhao, Z., Jiang, S., Huang, Q., Zhu, G.: Highlight summarization in sports video based on replay detection. In: Proceedings of the IEEE International Conference on Multimedia and Expo, pp. 1613–1616. IEEE (2006)
8.
Su, P.C., Lan, C.H., Wu, C.S., Zeng, Z.X., Chen, W.Y.: Transition effect detection for extracting highlights in baseball videos. EURASIP J. Image Video Process. 27(1), 1–16 (2013)
9.
Pan, H., Van Beek, P., Sezan, M.I.: Detection of slow-motion replay segments in sports video for highlights generation. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 3, pp. 1649–1652. IEEE (2001)
10.
Wang, L., Liu, X., Lin, S., Xu, G., Shum, H.Y.: Generic slow-motion replay detection in sports video. In: Proceedings of the International Conference on Image Processing (ICIP 2004), vol. 3, pp. 1585–1588. IEEE (2004)
11.
Chen, C.M., Chen, L.H.: A novel method for slow motion replay detection in broadcast basketball video. Multimedia Tools Appl. 74(21), 9573–9593 (2015)CrossRef
12.
Duan, L. Y., Xu, M., Tian, Q., Xu, C.S.: Mean shift based video segment representation and applications to replay detection. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 5, pp. V-709–V-712. IEEE (2004)
13.
Dang, Z., Du, J., Huang, Q., Jiang, S.: Replay detection based on semi-automatic logo template sequence extraction in sports video. In: Proceedings of the Fourth International Conference on Image and Graphics (ICIG 2007), pp. 839–844. IEEE (2007)
14.
Tong, X., Lu, H., Liu, Q., Jin, H.: Replay detection in broadcasting sports video. In: Proceedings of the Third International Conference on Image and Graphics (ICIG 2004), pp. 337–340. IEEE (2004)
15.
Xu, W., Yi, Y.: A robust replay detection algorithm for soccer video. IEEE Signal Process. Lett. 18(9), 509–512 (2011)CrossRef
16.
Zhao, F., Dong, Y., Wei, Z., Wang, H.: Matching logos for slow motion replay detection in broadcast sports video. In: Proceedings IEEE International Conference on of the Acoustics, Speech and Signal Processing (ICASSP), pp. 1409–1412. IEEE (2012)
17.
Pan, H., Li, B., Sezan, M.I.: Automatic detection of replay segments in broadcast sports programs by detection of logos in scene transitions. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 4, pp. IV-3385–IV-3388. IEEE (2002)
18.
Han, B., Yan, Y., Chen, Z., Liu, C., Wu, W.: A general framework for automatic on-line replay detection in sports video. In: Proceedings of the 17th ACM International Conference on Multimedia, pp. 501–504. ACM (2009)
19.
Yang, Y., Lin, S., Zhang, Y., Tang, S.: A statistical framework for replay detection in soccer video. In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. 3538–3541. IEEE (2008)
20.
Wang, J., Chng, E., Xu, C.: Soccer replay detection using scene transition structure analysis. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 2, pp. II-433–II-436. IEEE (2005)
21.
Choroś, K.: Video structure analysis and content-based indexing in the automatic video indexer AVI. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds.) Advances in Multimedia and Network Information System Technologies. AISC, vol. 80, pp. 79–90. Springer, Heidelberg (2010)CrossRef
22.
Nguyen, N., Yoshitaka, A.: Shot type and replay detection for soccer video parsing. In: IEEE International Symposium on Multimedia (ISM), pp. 344–347. IEEE (2012)
23.
Choroś, K.: Automatic playing field detection and dominant colour extraction in sports video shots of different view types. In: Zgrzywa A. et al. (eds.) Multimedia and Network Information Systems. AISC, vol. 506, pp. 39–48, Springer, Heidelberg (2016)
Metadata
Title
Improved Method of Detecting Replay Logo in Sports Videos Based on Contrast Feature and Histogram Difference
Authors
Kazimierz Choroś
Adam Gogol
Copyright Year
2016
Book
Computational Collective Intelligence

Print ISBN: 978-3-319-45242-5

Electronic ISBN: 978-3-319-45243-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-45243-2_50

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