Browse > Article

Soccer Video Highlight Building Algorithm using Structural Characteristics of Broadcasted Sports Video  

김재홍 (서강대학교 컴퓨터학과)
낭종호 (서강대학교 컴퓨터학과)
하명환 (KBS 기술연구소 연구원)
정병희 (KBS 기술연구소 연구원)
김경수 (KBS 기술연구소 연구원)
Publication Information
Journal of KIISE:Software and Applications / v.30, no.7_8, 2003 , pp. 727-743 More about this Journal
Abstract
This paper proposes an automatic highlight building algorithm for soccer video by using the structural characteristics of broadcasted sports video that an interesting (or important) event (such as goal or foul) in sports video has a continuous replay shot surrounded by gradual shot change effect like wipe. This shot editing rule is used in this paper to analyze the structure of broadcated soccer video and extracts shot involving the important events to build a highlight. It first uses the spatial-temporal image of video to detect wipe transition effects and zoom out/in shot changes. They are used to detect the replay shot. However, using spatial-temporal image alone to detect the wipe transition effect requires too much computational resources and need to change algorithm if the wipe pattern is changed. For solving these problems, a two-pass detection algorithm and a pixel sub-sampling technique are proposed in this paper. Furthermore, to detect the zoom out/in shot change and replay shots more precisely, the green-area-ratio and the motion energy are also computed in the proposed scheme. Finally, highlight shots composed of event and player shot are extracted by using these pre-detected replay shot and zoom out/in shot change point. Proposed algorithm will be useful for web services or broadcasting services requiring abstracted soccer video.
Keywords
Digital Video Library; Video indexing; Video abstracting;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Assfalg, M. Bertini, C. Colombo, and A. D. Bimbo, 'Extracting semantic information from news and sports video,' Proceedings of 2nd International Symposium on Image and Signal Processing and Analysis ISPA 2001, Pula, Croatia, 2001   DOI
2 C. W. Ngo, T.C.Pong & R.T.Chin, 'Detection of Gradual Transitions through Temporal Slice Analysis,' Proceedings of Computer Vision and Pattern Recognition, 1999   DOI
3 D. Zhong, and S. F. Chang, 'Structure Analysis of Sports Video Using Domain Models,' Proceedings of IEEE Conference on Multimedia and Exhibition, Tokyo, Japan, 2001
4 B. Li, and I. Sezan, 'Event Detection and Summarization in American Football Broadcast Video,' Proceedings of SPIE Conference on Storage and Retrieval for Media Databases, San Jose, USA, 2002   DOI
5 H. Pan, P. van Beek, and M. I. Sezan, 'Detection of Slow-Motion Replay Segments in Sports Video for Highlight Generation,' Proceedings of ICASSP Conference, Salt lake City, USA, 2001   DOI
6 M. Lou, X. Bai, and G. Xu, 'Content-based analysis and indexing of sports video,' Proceedings of SPIE Conference on Storage and Retrieval for Media Databases, San Jose, USA, 2002
7 G. Sudhir, J. C. M. Lee, and A. K. Jain, 'Automatic Classification of Tennis Video for High level Content-based Retrieval,' Proceedings of ACM Conference on Content-Based Access of Image and Video Databases, 1998   DOI
8 M. S. Drew, L. Ze-Nian, and Z. Xiang, Video Dissolve and Wipe Detection via Spatio-Temporal Images of Chromatic Histogram Differences, Proceedings of IEEE International Conference on Image Processing, 2000   DOI
9 P. Xu, L. Xie, and S. F. Chang, 'Algorithm and System for Segmentation and Structure Analysis in Soccer Video,' Proceedings of IEEE Conference on Multimedia and Exhibition, Tokyo, Japan, 2001