Abstract
Many strategies of content-based indexing have been proposed to recognize sports disciplines in sports news videos. It may be achieved by player scenes analyses leading to the detection of playing fields, of superimposed text like player or team names, identification of player faces, detection of lines typical for a given playing field and for a given sports discipline, recognition of player and audience emotions, and also detection of sports objects and clothing specific for a given sports category. The analysis of TV sports news usually starts by the automatic temporal segmentation of videos, recognition, and then classification of player shots and scenes reporting the sports events in different disciplines. Unfortunately, it happens that two (or even more) consecutive shots presenting two different sports events although events of the same discipline are detected as one shot. The strong similarity mainly of colour of playing fields makes it difficult to detect a cut. The paper examines the usefulness of player detection methods for the reduction of undetected cuts in temporally aggregated TV sports news videos leading to better detection of events in sports news. This approach has been tested in the Automatic Video Indexer AVI.
This is a preview of subscription content, log in via an institution to check access.
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
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)
Del Fabro, M., Böszörmenyi, L.: State-of-the-art and future challenges in video scene detection: a survey. Multimedia Systems 19(5), 427–454 (2013)
Asghar, M.N., Hussain, F., Manton, R.: Video indexing: a survey. International Journal of Computer and Information Technology 3(1), 148–169 (2014)
Choroś, K.: Video structure analysis for content-based indexing and categorisation of TV sports news. International Journal of Intelligent Information and Database Systems 6(5), 451–465 (2012)
Choroś, K.: Temporal aggregation of video shots in TV sports news for detection and categorization of player scenes. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds.) ICCCI 2013. LNCS, vol. 8083, pp. 487–497. Springer, Heidelberg (2013)
Choroś, K.: Headlines usefulness for content-based indexing of TV sports news. In: Zgrzywa, A., Choroś, K., Siemiński, A., et al. (eds.) Multimedia and Internet Systems: Theory and Practice. AISC, vol. 183, pp. 65–76. Springer, Heidelberg (2013)
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)
Huang, Y., Llach, J., Bhagavathy, S.: Players and ball detection in soccer videos based on color segmentation and shape analysis. In: Sebe, N., Liu, Y., Zhuang, Y.-t., Huang, T.S. (eds.) MCAM 2007. LNCS, vol. 4577, pp. 416–425. Springer, Heidelberg (2007)
Nunez, J.R., Facon, J., Brito Junior, A.: Soccer video segmentation: referee and player detection. In: Proceedings of the 15th International Conference on Systems, Signals and Image Processing IWSSIP 2008, pp. 279–282 (2008)
Liu, J., Tong, X., Li, W., Wang, T., Zhang, Y., Wang, H.: Automatic player detection, labeling and tracking in broadcast soccer video. Pattern Recognition Letters 30(2), 103–113 (2009)
Delannay, D., Danhier, N., De Vleeschouwer, C.: Detection and recognition of sports(wo)men from multiple views. In: Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras ICDSC 2009, pp. 1–7 (2009)
Maćkowiak, S., Konieczny, J., Kurc, M., Maćkowiak, P.: A complex system for football player detection in broadcasted video. In: Proceedings of the International Conference on Signals and Electronic Systems ICSES 2010, pp. 119–122 (2010)
Mentzelopoulos, M., Psarrou, A., Angelopoulou, A., García-Rodríguez, J.: Active foreground region extraction and tracking for sports video annotation. Neural Processing Letters 37(1), 33–46 (2013)
Zhang, J., Qiu, J., Wang, X., Wu, L.: Representation of the player action in sport videos. In: Proceedings of the Signal and Information Processing Association Annual Summit and Conference APSIPA 2013, pp. 1–4 (2013)
Choroś, K.: Video Structure Analysis and Content-Based Indexing in the Automatic Video Indexer AVI. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A., et al. (eds.) Advances in Multimedia and Network Information System Technologies. AISC, vol. 80, pp. 79–90. Springer, Heidelberg (2010)
Nawaz, M., Fatah, O.A., Comas, J., Aggoun, A.: Extracting foreground in video sequence using segmentation based on motion, contrast and luminance. In: Proceedings of the International Symposium on Broadband Multimedia Systems and Broadcasting BMSB 2012, pp. 1–3 (2012)
Li, L., Huang, W., Gu, I.Y., Tian, Q.: Foreground object detection from videos containing complex background. In: Proceedings of the 11th ACM International Conference on Multimedia, pp. 2–10 (2003)
Zivkovic, Z.: Improved adaptive Gaussian mixture model for background subtraction. In: Proceedings of the 17th International Conference on Pattern Recognition ICPR 2004, vol. 2, pp. 28–31 (2004)
Ying-hong, L., Hong-fang, T., Yan, Z.: An improved Gaussian mixture background model with real-time adjustment of learning rate. In: Proceedings of the International Conference on Information Networking and Automation ICINA 2010, vol. 1, pp. 512–515 (2010)
Fernandes, L.A., Oliveira, M.M.: Real-time line detection through an improved Hough transform voting scheme. Pattern Recognition 41(1), 299–314 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Choroś, K. (2014). Improved Video Scene Detection Using Player Detection Methods in Temporally Aggregated TV Sports News. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_64
Download citation
DOI: https://doi.org/10.1007/978-3-319-11289-3_64
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11288-6
Online ISBN: 978-3-319-11289-3
eBook Packages: Computer ScienceComputer Science (R0)