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.)
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.
