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Mining Event Structures from Web Videos
January-March 2011 (vol. 18 no. 1)
pp. 38-51
Xiao Wu, Southwest Jiaotong University
Yi-Jie Lu, Southwest Jiaotong University
Qiang Peng, Southwest Jiaotong University
Chong-Wah Ngo, City University of Hong Kong

This article explores the issues of mining event structures from Web video search results using text analysis, burst detection, clustering, and other techniques.

1. D. Lowe, "Distinctive Image Features from Scale-Invariant Key Points," Int'l J. Computer Vision, vol. 60, no. 2, 2004, pp. 91-110.
2. W.-L. Zhao, X. Wu, and C.-W. Ngo, "On the Annotation of Web Videos by Efficient Near- Duplicate Search," IEEE Trans. Multimedia, vol. 12, no. 5, 2010, pp. 448-461.
3. Q. He, K. Chang, and E.-P. Lim, "Analyzing Feature Trajectories for Event Detection," Proc. Int'l ACM Sigir Conf. Research and Development in Information Retrieval, ACM Press, 2007, pp. 207-214.
1. J. Allan ed., Topic Detection and Tracking: Event-based Information Organization, Kluwer Academic Publishers, 2002.
2. C.-C. Chen and M.-C. Chen, "TSCAN: A Novel Method for Topic Summarization and Content Anatomy," Proc. Int'l ACM Sigir Conf. Research and Development in Information Retrieval, ACM Press, 2008, pp. 579-586.
3. G. P.-C. Fung et al., "Time-Dependent Event Hierarchy Construction," Proc. ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, ACM Press, 2007, pp. 300-309.
4. Q. He, K. Chang, and E.-P. Lim, "Analyzing Feature Trajectories for Event Detection," Proc. Int'l ACM Sigir Conf. Research and Development in Information Retrieval, ACM Press, 2007, pp. 207-214.
5. Q. Mei and C. Zhai, "Discovering Evolutionary Theme Patterns from Text—An Exploration of Temporal Text Mining," Proc. ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, ACM Press, 2005, pp. 198-207.
6. R. Nallapati et al., "Event Threading within News Topics," Proc. ACM Int'l Conf. Information and Knowledge Management, ACM Press, 2004, pp. 446-453.
7. C. Wang et al., "Automatic Online News Issue Construction in Web Environment," Proc. Int'l World Wide Web Conf., ACM Press, 2008, pp. 457-466.
8. X.-H. Wang et al., "Mining Correlated Bursty Topic Patterns from Coordinated Text Streams," Proc. ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, ACM Press, 2007, pp. 784-793.
9. W.H. Hsu and S-F. Chang, "Topic Tracking across Broadcast News Videos with Visual Duplicates and Semantic Concepts," Proc. Int'l Conf. Image Processing, IEEE Press, 2006, pp. 141-144.
10. P. Duygulu, J-Y. Pan, and D.A. Forsyth, "Towards Auto-Documentary: Tracking the Evolution of News Stories," Proc. ACM Multimedia Conf., ACM Press, 2004, pp. 820-827.
11. Y. Zhai and M. Shah, "Tracking News Stories across Different Sources," Proc. ACM Multimedia Conf., ACM Press, 2005, pp. 2-10.
12. X. Wu, C.-W. Ngo, and A.G. Hauptmann, "Multimodal News Story Clustering with Pairwise Visual Near-Duplicate Constraint," IEEE Trans. Multimedia, vol. 10, no. 2, 2008, pp. 188-199.
13. I. Ide, H. Mo, and N. Katayama, "Threading News Video Topics," Proc. ACM Multimedia Information Retrieval, ACM Press, 2003, pp. 239-246.
14. S.-Y. Neo et al., "The Use of Topic Evaluation to Help Users Browse and Find Answers in News Video Corpus," Proc. ACM Multimedia Conf., ACM Press, 2007, pp. 198-207.
15. X. Wu, C-W. Ngo, and Q. Li, "Threading and Autodocumenting News Videos," IEEE Signal Processing Magazine, vol. 23, no. 2, 2006, pp. 59-68.
16. L. Liu et al., "Web Video Topic Discovery and Tracking via Bipartite Graph Reinforcement Model," Proc. Int'l World Wide Web Conf., ACM Press, 2008, pp. 1009-1018.

Index Terms:
Web videos, topic detection and tracking, event structure mining, feature trajectory
Citation:
Xiao Wu, Yi-Jie Lu, Qiang Peng, Chong-Wah Ngo, "Mining Event Structures from Web Videos," IEEE Multimedia, vol. 18, no. 1, pp. 38-51, Jan.-March 2011, doi:10.1109/MMUL.2011.12
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