Wen Wen Hsieh
ABSTRACT
In this paper, we present a design and implementation of a bowling information system. This system contains three types of bowling game information including the bowling video content information, the game-related information and the player information. The MPEG-7 Description Schemes are used to describe these types of information and the relationships among them. This information is obtained through an annotator by which manual conceptual feature annotation (for the player and game-related information) and automatic perceptual feature extraction (for the video content information) are integrated. Several interesting events in the video such as strikes and the important frames are determined by automatically analyzing the video content. With an interactive user interface, users' queries are transformed into XQuery to retrieve needed information about the bowling games to learn the skills of bowling. In addition to the implementation of the system, we also perform experiments to show the effectiveness of the automatic video content information extraction.
- A. Alatan, A. Akansu, and W.Wolf, "Multi-modal Dialog Scene Detection Using Hidden Markov Models for Content-based Multimedia Indexing," Multimedia Tools and Applications, Vol. 14, No. 2, pp.137--151, June 2001. Google Scholar
Digital Library
- A. Del Bimbo, Visual Information Retrieval. Morgan Kaufmann Publishers, 1999. Google ScholarDigital Library
- D. Tjondronegoro and Y. P. Chen, "Content-Based Indexing and Retrieval Using MPEG-7 and X-Query in Video Data Management Systems," World Wide Web Journal, Kluwer Academic Publishers, Vol. 5, No. 3, pp. 207---227, 2001. Google ScholarDigital Library
- M. R. Naphade and T. S. Huang, "A Probabilistic Framework for Semantic Video Indexing, Filtering, and Retrieval," IEEE Transactions on Multimedia, Vol. 3, No. 1, pp. 141--151, March 2001. Google ScholarDigital Library
- S. Nepal, U. Srinivasan, and G. Reynolds, "Automatic Detection of 'Goal' Segments in Basketball Videos," Proc. ACM Multimedia 2001, pp. 261--269. Google ScholarDigital Library
- S. Preiffer, R. Lienhart, and W. effelsbsrg, "Scene Determination Based on Video and Audio Feature," Multimedia Tools and Applications, Vol. 15, No. 1, pp. 5---81, September 2001. Google ScholarDigital Library
- G. Sudhir, J. C. M. Lee, and A. K. Jain, "Automatic Classification of Tennis Video for High-level Content-based Retrieval," Proc. IEEE International Workshop on Content-Based Access of Image and Video Databases, 1998. Google ScholarDigital Library
- V. Tovinkere and R. J. Qian, "Detecting Semantic Events in Soccer Games: Towards A Complete Solution," Proc. IEEE International Conference on Multimedia & Expo 2001.Google ScholarCross Ref
- E. Wold, T. Blum, D. Keislar, and J. Wheaton, "Content-based Classification, Search, and Retrieval of Audio," IEEE Multimedia, Vol. 3, No. 2, pp. 2---36, 1996. Google ScholarDigital Library
- ISO/IEC JTC1/SC29/WG11 N4509, "Overview of the MPEG-7 Standard", Pattaya, December 2001.Google Scholar
- ISO/IEC JTC 1/SC 29/WG 11/N3966, "Text of 15938-5 FCD Information Technology - Multimedia Content Description Interface - Part 5 Multimedia Description Schemes," Singapore, March 2001.Google Scholar
Index Terms
- Constructing a bowling information system with video content analysis
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