Difference between revisions of "videoInfringement"

From NMSL
 
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== On-going Research Problems ==  
 
== On-going Research Problems ==  
  
* [[Private:copyDetection: Notes| Copy Detection: Notes(Login Required)]]
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* [[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.
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* 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.)
(Uses SIFT feature on keyframes. Uses LSH on the features and some heuristics to improve performance.)
 
  
* 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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* 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.)
  
 
* 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)
 
* 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]
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* 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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* [http://www.westgrid.ca/ WestGrid:] a high performance computing (HPC) infrastructure. Lots of computing and storage resources. We have access to it.
 
* [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'''
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* [[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

  • 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.)


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