Difference between revisions of "videoInfringement"
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(New page: We are designing efficient schemes to detect illegal copies of videos using the cloud computing platform. == People == * [http://www.cs.sfu.ca/~mhefeeda/ Mohamed Hefeeda] * Cameron ...) |
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We are designing efficient schemes to detect illegal copies of videos using the cloud computing platform. | We are designing efficient schemes to detect illegal copies of videos using the cloud computing platform. | ||
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== On-going Research Problems == | == On-going Research Problems == | ||
− | * [[Private:copyDetection: Notes| Copy Detection: Notes(Login Required)]] | + | * [[Private:copyDetection: Notes| Copy Detection: Notes (Login Required)]] |
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'''Papers/Tools Related to Video Copy Detection''' | '''Papers/Tools Related to Video Copy Detection''' | ||
+ | * Liu, et al., [http://www.research.att.com/people/Gibbon_David_C/library/publications/dg20100329120000.pdf Effective and scalable video copy detection], ACM MIR 2010. (Uses SIFT feature on keyframes. Uses LSH on the features and some heuristics to improve performance.) | ||
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+ | * Roth el al., [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5479485 A Simple but Effective Approach to Video Copy Detection], in Proc. of Canadian Conference on Computer and Robot Vision (CRV), 2010. (Uses the count of the SURF features in each frame.) | ||
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+ | * Poullot, et al., [http://www.springerlink.com/content/ax5035808p57k355/fulltext.pdf Scaling Content Based Video Copy Detection to very Large Databases], Multimedia Tools and Applications, vol 427, pp. 279-306, 2010. (Presents long background. Uses some *local* features on keyframes and Z-curves to find similar video copies. Tests with large scale video database) | ||
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+ | * Chih-Yi, et al., [http://www.iis.sinica.edu.tw/papers/whm/7839-F.pdf A Novel Video Matching Framework for Copy Detection], The 21th IPPR Conference on Computer Vision, Graphics, and Image Processing, Yilan, Taiwan, Aug. 24-26, 2008. (Content Based Copy Detection using a variable length sliding window and adaptive thresholding.) | ||
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+ | *[http://vision.ai.uiuc.edu/~sintod/ECE590-st_interest_points.pdf Spatio-temporal features] | ||
− | * | + | * Malekesmaeili et. al. [http://portal.acm.org/citation.cfm?id=1726586.1727097 Video Copy Detection Using Temporally Informative Representative Images] Proceedings of the 2009 International Conference on Machine Learning and Applications |
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'''Papers/Tools Related to Cloud Computing''' | '''Papers/Tools Related to Cloud Computing''' | ||
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+ | * [http://hadoop.apache.org/ Hadoop:] an open-source software for distributed computing. Employs MapReduce approach. | ||
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+ | * [http://www.westgrid.ca/ WestGrid:] a high performance computing (HPC) infrastructure. Lots of computing and storage resources. We have access to it. | ||
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+ | '''Tools Related to Video Processing''' | ||
+ | * [[Video Processing Tools]] |
Latest revision as of 11:10, 8 March 2011
We are designing efficient schemes to detect illegal copies of videos using the cloud computing platform.
People
- Cameron Harvey (MSc student)
- Naghmeh Khodabakhshi (MSc student)
On-going Research Problems
References and Links
Papers/Tools Related to Video Copy Detection
- Liu, et al., Effective and scalable video copy detection, ACM MIR 2010. (Uses SIFT feature on keyframes. Uses LSH on the features and some heuristics to improve performance.)
- Roth el al., A Simple but Effective Approach to Video Copy Detection, in Proc. of Canadian Conference on Computer and Robot Vision (CRV), 2010. (Uses the count of the SURF features in each frame.)
- Poullot, et al., Scaling Content Based Video Copy Detection to very Large Databases, Multimedia Tools and Applications, vol 427, pp. 279-306, 2010. (Presents long background. Uses some *local* features on keyframes and Z-curves to find similar video copies. Tests with large scale video database)
- Chih-Yi, et al., A Novel Video Matching Framework for Copy Detection, The 21th IPPR Conference on Computer Vision, Graphics, and Image Processing, Yilan, Taiwan, Aug. 24-26, 2008. (Content Based Copy Detection using a variable length sliding window and adaptive thresholding.)
- Malekesmaeili et. al. Video Copy Detection Using Temporally Informative Representative Images Proceedings of the 2009 International Conference on Machine Learning and Applications
Papers/Tools Related to Cloud Computing
- Hadoop: an open-source software for distributed computing. Employs MapReduce approach.
- WestGrid: a high performance computing (HPC) infrastructure. Lots of computing and storage resources. We have access to it.
Tools Related to Video Processing