Abstract
Digital video data are stored and offered by many public Web services such as Internet video collections, TV shows archives, Internet video-on-demand systems, personal video archives, and others. New methods and technologies of video indexing and retrieval in the Web are developed. Content-based indexing of TV sports news is based on the automatic segmentation, then recognition and classification of scenes reporting the sport events in a given discipline. Automatic classification of sports in TV sports news is one of the basic process in video indexing. There are many different strategies how to recognize a sport discipline. It may be achieved by player scenes analyses leading to the detection of playing fields, of superimposed text like player or team names, recognition of player faces or sport objects, detection of player and audience emotions, and also to the detection of lines typical for a given playing fields and for a given sport discipline. The paper proposes a framework of the automatic line detection of a tennis court for the selection of tennis shots from TV sports news. Categorization of sport videos is based on the minimum set of lines for the detection of a tennis court. The framework has been verified and tested in the Automatic Video Indexer AVI.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ballan, L., Bertini, M., Del Bimbo, A., Seidenari, L., Serra, G.: Event detection and recognition for semantic annotation of video. Multimedia Tools and Applications 51, 279–302 (2011)
Geetha, P., Narayanan, V.: A survey of content-based video retrieval. Journal of Computer Science 4(6), 474–486 (2008)
Hu, W., Xie, N., Li, L., Zeng, X., Maybank, S.: A survey on visual content-based video indexing and retrieval. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 41(6), 797–819 (2011)
Money, A.G., Agius, H.: Video summarisation: a conceptual framework and survey of the state of the art. Journal of Visual Communication and Image Representation 19, 121–143 (2008)
Ling-Yu, D., Min, X., Qi, T., Chang-Sheng, X., Jin, J.S.: A unified framework for semantic shot classification in sports video. IEEE Transactions on Multimedia 7(6), 1066–1083 (2005)
Bertini, M., Del Bimbo, A., Nunziati, W.: Automatic Annotation of Sport Video Content. In: Sanfeliu, A., Cortés, M.L. (eds.) CIARP 2005. LNCS, vol. 3773, pp. 1066–1078. Springer, Heidelberg (2005)
Choroś, K., Pawlaczyk, P.: Content-Based Scene Detection and Analysis Method for Automatic Classification of TV Sports News. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds.) RSCTC 2010. LNCS (LNAI), vol. 6086, pp. 120–129. Springer, Heidelberg (2010)
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)
Huang, Y., Choiu, C., Sandnes, F.E.: An intelligent strategy for the automatic detection of highlights in tennis video recordings. Expert Systems with Applications 36(6), 9907–9918 (2009)
Zhu, G., Xu, C., Huang, Q., Gao, W.: Action recognition in broadcast tennis video. In: Proc. of 18th Int. Conf. on Pattern Recognition (ICPR), vol. 1, pp. 251–254 (2006)
Jiang, Y., Lai, K., Hsieh, C., Lai, M.: Player Detection and Tracking in Broadcast Tennis Video. In: Wada, T., Huang, F., Lin, S. (eds.) PSIVT 2009. LNCS, vol. 5414, pp. 759–770. Springer, Heidelberg (2009)
Choroś, K., Fijałkowski, D.: Detection of faces in tennis video scenes of TV sports news. In: Świątek, J., et al. (eds.) Information Systems Architecture and Technology: System Analysis Approach to the Design, Control and Decision Support, pp. 127–137. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław (2010)
Chi-Kao, C., Min-Yuan, F., Chung-Ming, K., Nai-Chung, Y.: Event detection for broadcast tennis videos based on trajectory analysis. In: Proc. of 2nd Int. Conf. on Communications and Networks (CECNet), pp. 1800–1803 (2012)
Farin, D., Han, J., de With, P.H.N.: Fast camera calibration for the analysis of sport sequences. In: Proc. of IEEE Int. Conf. on Multimedia and Expo (ICME), pp. 482–485 (2005)
Yu, X., Lai, H.C., Liu, S.X.F., Leong, H.W.: A gridding Hough transform for detecting the straight lines in sports video. In: Proc. of IEEE Int. Conf. on Multimedia and Expo (ICME), pp. 518–521 (2005)
Li, Y., Liu, G., Qian, X.: Ball and field line detection for placed kick refinement. In: Proc. of Global Congress on Intelligent Systems (GCIS), vol. 4, pp. 404–407 (2009)
Liu, L., Zhang, D., You, J.: Detecting wide lines using isotropic nonlinear filtering. IEEE Transactions on Image Processing 16(6), 1584–1595 (2007)
Jacob, M.G., Bhagavathy, S., Barcon-Palau, J., Llach, J.: Detection of field lines in sports videos. Patent WO2010083021 (2010)
Lacroix, V.: Color Line Detection. In: Maino, G., Foresti, G.L. (eds.) ICIAP 2011, Part I. LNCS, vol. 6978, pp. 318–326. Springer, Heidelberg (2011)
Cai, Z.Q., Tai, J.: Line detection in soccer video. In: Proc. of the Fifth Int. Conf. on Information, Communications and Signal Processing, pp. 538–541 (2005)
Sun, L., Liu, G.: Field lines and players detection and recognition in soccer video. In: Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Proc. (ICASSP), pp. 1237–1240 (2009)
Kopf, S., Guthier, B., Farin, D., Han, J.: Analysis and retargeting of ball sports video. In: Proc. of IEEE Workshop on Applications of Computer Vision (WACV), pp. 9–14 (2011)
Choroś, K.: Video structure analysis for content-based indexing and categorisation of TV sports news. Int. J. Intelligent Information and Database Systems 6 (in press, 2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Choroś, K. (2012). Detection of Tennis Court Lines for Sport Video Categorization. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7654. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34707-8_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-34707-8_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34706-1
Online ISBN: 978-3-642-34707-8
eBook Packages: Computer ScienceComputer Science (R0)