The Community for Technology Leaders
RSS Icon
Issue No.03 - July-September (2011 vol.18)
pp: 22-31
Zhu Li , Huawei Technology
Linjun Yang , Microsoft Research Asia
Meng Wang , National University of Singapore
Bo Liu , The Hong Kong Polytechnic University
By exploring the temporal relationships inherent in video, a probabilistic framework can help identify and locate copies of query videos.
video copy location, dopy detection, video repository, video repositories, large-scale video repositories, video search, Web video, online video, IEEE MultiMedia, graphics and multimedia
Zhu Li, Linjun Yang, Meng Wang, Bo Liu, "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
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.
11 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool