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Issue No.03 - July-September (2011 vol.18)
pp: 22-31
Bo Liu , The Hong Kong Polytechnic University
Zhu Li , Huawei Technology
Linjun Yang , Microsoft Research Asia
Meng Wang , National University of Singapore
Xinmei Tian , University of Science and Technology of China
ABSTRACT
By exploring the temporal relationships inherent in video, a probabilistic framework can help identify and locate copies of query videos.
INDEX TERMS
video copy location, dopy detection, video repository, video repositories, large-scale video repositories, video search, Web video, online video, IEEE MultiMedia, graphics and multimedia
CITATION
Bo Liu, Zhu Li, Linjun Yang, Meng Wang, Xinmei Tian, "Real-Time Video Copy-Location Detection in Large-Scale Repositories", IEEE MultiMedia, vol.18, no. 3, pp. 22-31, July-September 2011, doi:10.1109/MMUL.2011.37
REFERENCES
1. J.L.L. To et al., "Video Copy Detection on the Internet: The Challenges of Copyright and Multiplicity," Proc. Int'l Conf. Multimedia & Expo, IEEE Press, 2007.
2. S. Poullot, M. Crucianu, and O. Buisson, "Scalable Mining of Large Video Databases Using Copy Detection," Proc. ACM Multimedia, 2008.
3. J.L.L. To et al., "Video Copy Detection: A Comparative Study," Proc. Int'l Conf. Image and Video Retrieval, ACM Press, 2007.
4. Z. Li, L. Gao, and A.K. Katsaggelos, "Locally Embedded Linear Spaces for Efficient Video Shot Indexing and Retrieval," Proc. Int'l Conf. Multimedia & Expo, IEEE Press, 2006.
5. L.F. Shang et al., "Real-Time Large Scale Near- Duplicate Web Video Retrieval," Proc. ACM Multimedia, ACM Press, 2010.
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