Abstract
Visual retrieval systems need to store a large amount of digital video data. The new possibilities offered by the Internet as well as local networks have made video data publicly and relatively easy available, for example Internet video collections, TV shows archives, video-on-demand systems, personal video archives offered by many public Internet services, etc. Video data should be indexed, mainly using content-based indexing methods. Digital video is hierarchically structured. Video is composed of acts, sequences, scenes, shots, and finally of single frames. In the tests described in the paper a special software called the AVI – Automatic Video Indexer has been used to detect shots in tested videos. Then, the single, still frames from different time positions in the shots detected in ten TV sports news have been thoroughly examined for their usefulness in an automatic classification of TV sports news.
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
Lew, M.S., Sebe, N., Djeraba, C., Jain, R.: Content-based multimedia information retrieval: State of the art and challenges. ACM Transactions on Multimedia Computing, Communications, and Applications, 1–19 (2006)
Choroś, K.: Digital video segmentation techniques for indexing and retrieval on the Web. In: Advanced Problems of Internet Technologies. Academy of Business, Dabrowa Górnicza, pp. 7–21 (2008)
Choroś, K.: Cross dissolve detection in a temporal segmentation process for digital video indexing and retrieval. In: Information and Computer Systems – Concepts, Tools and Applications. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, pp. 189–200 (2008)
Choroś, K., Gonet, M.: Effectiveness of video segmentation techniques for different categories of videos. In: New Trends in Multimedia and Network Information Systems, pp. 34–45. IOS Press, Amsterdam (2008)
Chena, L.-H., Laib, Y.-C., Liaoc, H.-Y.M.: Movie scene segmentation using background information. Pattern Recognition, 1056–1065 (2008)
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, 121–143 (2008)
Zhong, D., Chang, S.-F.: Real-time view recognition and event detection for sports video. Journal of Visual Communication and Image Representation, 330–347 (2004)
Kang, Y.-L., Lim, J.-H., Kankanhalli, M.S., Xu, C., Tian, Q.: Goal detection in soccer video using audio/visual. In: Proceedings of the ICIP, pp. 1629–1632 (2004)
Lien, C.-C., Chiang, C.-L., Lee, C.-H.: Scene-based event detection for baseball videos. Journal of Visual Communication and Image Representation, 1–14 (2007)
Delakis, M., Gravier, G., Gros, P.: Audiovisual integration with Segment Models for tennis video parsing. Computer Vision and Image Understanding, 142–154 (2008)
Messer, K., Christmas, W., Kittler, J.: Automatic sports classification. In: Proceedings of the 16th International Conference on Pattern Recognition, pp. 1005–1008 (2002)
Wang, D.-H., Tian, Q., Gao, S., Sung, W.-K.: News sports video shot classification with sports play field and motion features. In: ICIP 2004 International Conference on Image Processing, pp. 2247–2250 (2004)
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, 1066–1083 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Choroś, K. (2009). Video Shot Selection and Content-Based Scene Detection for Automatic Classification of TV Sports News. In: Tkacz, E., Kapczynski, A. (eds) Internet – Technical Development and Applications. Advances in Intelligent and Soft Computing, vol 64. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05019-0_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-05019-0_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05018-3
Online ISBN: 978-3-642-05019-0
eBook Packages: EngineeringEngineering (R0)