Abstract
Sports videos are the most popular videos searched in the Web. To retrieve efficiently and effectively sports videos we need to use very sophisticated techniques of content-based analysis. Many strategies of content-based indexing have been already proposed, tested, and applied to categorize video shots in sports news videos. One of the techniques is based on player scene analyses leading to the detection of playing fields. The characteristic of a playing field strongly depends on the sports category. Some sports videos are characterized by a very dynamic background, others by a static background, close-up view of players, in-field medium view, wide view, or out of field view of the audience, small or great objects of foreground, homogeneous type of playing field with one dominant color or very diversified field. The recognition of such sports video features as dominant color of playing field and type of shot view can significantly help to categorize sports news videos. The paper discusses some aspects of the processes of automatic dominant color extraction and playing field detection basing on the experiences achieved during the experiments performed in the Automatic Video Indexer AVI.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Asghar, M.N., Hussain, F., Manton, R.: Video indexing: a survey. Int. J. Comput. Inform. Technol. 3(1), 148–169 (2014)
Tien, M.C., Wu, J.L., Chu, W.T.: A comprehensive study of sports video analysis. Multimedia Analysis, Processing and Communications, Studies in Computational Intelligence 346, pp. 413–441. Springer, Berlin Heidelberg (2011)
Ballan, L., Bertini, M., Del Bimbo, A., Seidenari, L., Serra, G.: Event detection and recognition for semantic annotation of video. Multimedia Tools Appl. 51(1), 279–302 (2011)
Valdés, V., Martínez, J.M.: On-line video abstract generation of multimedia news. Multimedia Tools Appl. 59(3), 795–832 (2012)
Montagnuolo, M., Messina, A., Borgotallo, R.: Automatic segmentation, aggregation and indexing of multimodal news information from television and the Internet. Int. J. Inform. Stud. 1(3), 200–211 (2010)
Choroś, K.: Weighted indexing of TV sports news videos. Multimedia Tools Appl. 1–20 (2015)
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)
Kapela, R., McGuinness, K., O’Connor, N.E.: Real-time field sports scene classification using colour and frequency space decompositions. J. Real-Time Image Process. 1–13 (2014)
Choroś, K.: Detection of tennis court lines for sport video categorization. Computational Collective Intelligence. Technologies and Applications. Springer, Berlin, Heidelberg, LNAI 7654, pp. 304–314 (2012)
Dang, B., Tran, A., Dinh, T., Dinh, T.: A real time player tracking system for broadcast tennis video. In: Intelligent Information and Database Systems ACIIDS’2010, LNCS 5991, pp. 105–113, Springer, Berlin Heidelberg (2010)
Yakut, M., Kehtarnavaz, N.: Ice-hockey puck detection and tracking for video highlighting. SIViP 10(3), 527–533 (2016)
Ekin, A., Tekalp, A.M.: Shot type classification by dominant color for sports video segmentation and summarization. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP’03, vol. 3, pp. 173–176 (2003)
Tong, X., Liu, Q., Lu, H.: Shot classification in broadcast soccer video. Electron. Lett. Comput. Vis. Image Anal. ELCVIA 7(1), 16–25 (2008)
Li, L., Zhang, X., Hu, W., Li, W., Zhu, P.: Soccer video shot classification based on color characterization using dominant sets clustering. In: Proceedings of the Pacific-Rim Conference on Multimedia PCM, LNCS 5879, Springer, Berlin Heidelberg, pp. 923–929 (2009)
Tran, Q., Tran, A., Dinh, T.B., Duong, D.: Long-view player detection framework algorithm in broadcast soccer videos. In: Proceedings of the International Conference on Information and Computing ICIC, LNAI 6839, pp. 557–564, Springer, Berlin, Heidelberg (2011)
Maćkowiak, S.: Segmentation of football video broadcast. Int. J. Electron. Telecommun. 59(1), 75–84 (2013)
Buch, N., Velastin, S.A., Orwell, J.: A review of computer vision techniques for the analysis of urban traffic. IEEE Trans. Intell. Transp. Syst. 12(3), 920–939 (2011)
Duan, L.Y., Xu, M., Tian, Q., Xu, C.S., Jin, J.S.: A unified framework for semantic shot classification in sports video. IEEE Trans. Multimedia 7(6), 1066–1083 (2005)
Choroś, K.: Automatic detection of headlines in temporally aggregated TV sports news videos. In: Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis ISPA’2013, pp. 140–145 (2013)
Sharma, R.A., Gandhi, V., Chari, V., Jawahar, C.V.: Automatic analysis of broadcast football videos using contextual priors. Signal Image Video Process. 1–8 (2016)
Lang, C., Xu, D., Jiang, Y.: Shot type classification in sports video based on visual attention. In: Proceedings of the International Conference on Computational Intelligence and Natural Computing CINC’2009, IEEE, vol. 1, pp. 336–339 (2009)
Choroś, K.: Video structure analysis and content-based indexing in the Automatic Video Indexer AVI. In: Advances in Multimedia and Network Information System Technologies, Advances in Intelligent and Soft Computing, AISC 80, Springer, Berlin, Heidelberg, pp. 79–90 (2010)
Choroś, K.: Improved video scene detection using player detection methods in temporally aggregated TV sports news. In: Computational Collective Intelligence. Technologies and Applications, LNAI 8733, pp. 633–643, Springer, Switzerland (2014)
Nguyen, N., Yoshitaka, A.: Shot type and replay detection for soccer video parsing. In: Proceedings of the International Symposium on Multimedia ISM, IEEE, pp. 344–347 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this paper
Cite this paper
Choroś, K. (2017). Automatic Playing Field Detection and Dominant Color Extraction in Sports Video Shots of Different View Types. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Network Information Systems. Advances in Intelligent Systems and Computing, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-319-43982-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-43982-2_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-43981-5
Online ISBN: 978-3-319-43982-2
eBook Packages: EngineeringEngineering (R0)