Video event mining via multimodal content analysis and classification

Multimedia Data Mining and Knowledge Discovery

Volumn , Issue , 2007, Pages 234-258

  Chen, Min ^a   Chen, Shu Ching ^b   Shyu, Mei Ling ^c   Zhang, Chengcui ^d  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c University of Miami College of Engineering   (United States)

^d UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84892033864     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-84628-799-2_12     Document Type: Chapter

References (39)

1. Aha D. Tolerating noisy, irrelevant, and novel attributes in instance-based learning algorithms. International Journal of Man-Machine Studies 1992;36(2):267-287.
2. Assfalg J, Bertini M, Bimbo AD, Nunziati W, Pala P. Soccer highlights detection and recognition using HMMs. In: Proceedings of IEEE International Conference on Multimedia and Expo; 2002, pp. 825-828.
3. Babaguchi N, Kawai Y, Kitahashi T. Event based indexing of broadcasted sports video by intermodal collaboration. IEEE Transactions on Multimedia 2002;4(1):68-75.
4. Cendrowska J. PRISM: An algorithm for inducing modular rules. International Journal of Man-Machine Studies 1987;27(4):349-370.
5. Chang SF. The holy grailofcontent-based media analysis. IEEE Multimedia 2002;9:6-10.
6. Chen S-C, Shyu M-L, Zhang C, Kashyap RL. Video scene change detection method using unsupervised segmentation and object tracking. In: Proceedings of IEEE International Conference on Multimedia and Expo; 2001. pp. 57-60.
7. Chen S-C, Shyu M-L, Zhang C, Kashyap RL. Identifying overlapped objects for video indexing and modeling in multimedia database systems. International Journal on Artificial Intelligence Tools 2001;10(4):715-734.
8. Chen S-C, Shyu M-L, Zhang C, Luo L, Chen M. Detection of soccer goal shots using joint multimedia features and classification rules. In: Proceedings of the Fourth International Workshop on Multimedia Data Mining (MDM/KDD2003), in conjunction with the ACM SIGKDD International Conferenceon Knowledge Discovery & Data Mining; 2003, pp. 36-44.
9. Chen S-C, Shyu M-L, Zhang C. Innovative shot boundary detection for video indexing. In: Sagarmay Deb, editor. Video Data Management and Information Retrieval. Idea Group Publishing, ISBN: 1-59140546-7;2005, pp. 217-236.
10. Chen S-C, Shyu M-L, Zhang C, Chen M. A multimodal data mining framework for soccer goal detection based on decision tree logic. International Journal of Computer Applications in Technology, Special Issue on Data Mining Applications. In press.
11. Cheng HD, Jiang XH, Sun Y, Wang J. Color image segmentation: advances and prospects. Pattern Recognition 2001;34(12):2259-2281.
12. Dagtas S, Abdel-Mottaleb M. Extraction of TV highlights using multimedia features. In: Proceedings of IEEE International Workshop on Multimedia Signal Processing; 2001, pp. 91-96.
13. Deshpande U, Gupta A, Basu A. Performance enhancement of a contract net protocol based system through instance-based learning. IEEE Transactions on System, Man, and Cybernetics, Part B 2005;35(2):345-358.
14. Duan LY, Xu M, Yu XD, Tian Q. A unified framework for semantic shot classification in sports videos. In: Proceedings of ACM Multimedia; 2002, pp. 419-420.
15. Duan LY, Xu M, Chua TS, Tian Q, Xu CS. A mid-level representation framework for semantic sports video analysis. In: Proceedings of ACM Multimedia; 2003, pp. 33-44.
16. Ekin A. Sports video processing for description, summarization, and search [dissertation]. Department of Electrical and Computer Engineering, School of Engineering and Applied Sciences, University of Rochester; 2003.
17. Ekin A, Tekalp AM, Mehrotra R. Automatic soccer video analysis and summarization. IEEE Transactions on Image Processing 2003;12(7):796-807.
18. Gong Y, Sin LT, Chuan CH, Zhang H, Sakauchi M. Automatic parsing of TV soccer programs. In: Proceeding of IEEE Multimedia Computing and Systems; 1995, pp. 167-174.
19. Hanjalic A. Shot-boundary detection: unraveled and resolved. IEEE Transactions on Circuits and Systems for Video Technology 2002;12:90-105.
20. Leonardi R, Migliorati P, Prandini M. Semantic indexing of soccer audio-visual sequences: a multimodal approach based oncontrolled Markov chains. IEEE Transactions on Circuits and Systems for Video Technology 2004;14(5):634-643.
21. Li B, Pan H, Sezan I. A general framework for sports video summarization with its application to soccer. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing; 2003, pp. 169-172.
22. Liu Z, Wang Y, Chen T. Audio feature extraction and analysis for scene segmentation and classification. Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology 1998;20(1/2):61-80.
23. Martin B. Instance-based learning: nearest neighbor with generalization [thesis]. Department of Computer Science, University of Waikato, New Zealand; 1995.
24. Mitchell T. Machine Learning. New York: McGraw-Hill; 1997.
25. Rui Y, Gupta A, Acero A. Automatically extracting highlights for TV baseball programs. In: Proceedings of ACM Multimedia; 2000, pp. 105-115.
26. Tan YP, Saur DD, Kulkarni SR, Ramadge PJ. Rapid estimation of camera motion from compressed video with application to video annotation. IEEE Transactions on Circuits and Systems for Video Technology 2000;10(1):133-146.
27. Tovinkere V, Qian RJ. Detecting semantic events in soccer games: towards a complete solution. In: Proceedings of IEEE International Conference on Multimedia and Expo; 2001, pp. 1040-1043.
28. Wang Y, Liu Z, Huang J. Multimedia content analysis using both audio and visual clues. Signal Processing Magazine 2000;17:12-36.
29. Witten IH, Frank E. Data Mining-Practical Machine Learning Tools and Techniques with Java Implementations. San Francisco: Morgan Kaufmann Publishers; 1999.
30. Xie L, Chang SF, Divakaran A, Sun H. Structure analysis of soccer video with Hidden Markov Models. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing; 2002, pp. 13-17.
31. Xie L, Chang SF, Divakaran A, Sun H. Unsupervised discovery of multilevel statistical video structures using Hierarchical Hidden Markov Models. In: Proceedings of the IEEE International Conference on Multimedia and Expo; 2003, pp. 29-32.
32. Xie L, Xu P, Chang SF, Divakaran A, Sun H. Structure analysisofsoccervideo with domain knowledge and Hidden Markov Models. Pattern Recognition Letters 2003;24(15):767-775.
33. Xu M, Maddage NC, Xu CS, Kankanhalli M, Tian Q. Creating audio keywords for event detection in soccer video. In: Proceedings of IEEE International Conference on Multimedia and Expo; 2003, pp. 281-284.
34. Xu P, Xie L, Chang SF, Divakaran A, Vetro A, Sun H. Algorithms and system for segmentation and structure analysis in soccer video. In: Proceedings of IEEE International Conference on Multimedia and Expo; 2001, pp. 928-931.
35. Yow D, Yeo BL, Yeung M, Liu B. Analysis and presentation of soccer highlights from digital video. In: Proceedings of 2nd Asian Conference on Computer Vision; 1995, pp. 499-503.
36. Zhang C, Chen S-C, Shyu M-L. PixSO: A system for video shot detection. In: Proceedings of the Fourth IEEE Pacific-Rim Conference on Multimedia; 2003, pp. 1-5.
37. Zhu W, Toklu C, Liou SP. Automatic news video segmentation and categorization based on closed-captioned text. In: Proceedings of IEEE International Conference on Multimedia and Expo; 2001, pp. 1036-1039.
38. Zhu X, Wu X, Elmagarmid AK, Feng Z, Wu L. Video data mining: Semantic indexing and event detection from the association perspective. IEEE Transactions on Knowledge and Data Engineering 2005;17(5):665-677.
39. Weka 3: data mining software in Java. Available from: http://www.cs.waikato.ac.nz/ml/weka/.