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Issue No.01 - January-March (2011 vol.18)
pp: 38-51
Yi-Jie Lu , Southwest Jiaotong University
Xiao Wu , Southwest Jiaotong University
Chong-Wah Ngo , City University of Hong Kong
ABSTRACT
<p>This article explores the issues of mining event structures from Web video search results using text analysis, burst detection, clustering, and other techniques.</p>
INDEX TERMS
Web videos, topic detection and tracking, event structure mining, feature trajectory
CITATION
Yi-Jie Lu, Xiao Wu, Chong-Wah Ngo, "Mining Event Structures from Web Videos", IEEE MultiMedia, vol.18, no. 1, pp. 38-51, January-March 2011, doi:10.1109/MMUL.2011.12
REFERENCES
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.
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