Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Protecting digital archives at the Greek Orthodox Archdiocese of America
Proceedings of the 3rd ACM workshop on Digital rights management
Robust content-based image searches for copyright protection
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Fast and Robust Search Method for Short Video Clips from Large Video Collection
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
An efficient parts-based near-duplicate and sub-image retrieval system
Proceedings of the 12th annual ACM international conference on Multimedia
A DRM security architecture for home networks
Proceedings of the 4th ACM workshop on Digital rights management
Proceedings of the 4th ACM workshop on Digital rights management
Constructing a wrapper-based DRM system for digital content protection in digital libraries
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
Spatiotemporal sequence matching for efficient video copy detection
IEEE Transactions on Circuits and Systems for Video Technology
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A usual way for content protection of digital libraries is to use digital watermarks and a DRM-based access-control environment. These methods, however, have limitations. Digital watermarks embedded in digital content could be removed by malicious users via post-processing, whereas DRM-based access-control solutions could be hacked. In this paper, we introduce a content tracking mechanism that we have built for multimedia-content near-replica detection as the second line of defense. The integrated framework aims to detect unlawful copyright infringements on the Internet, and combines the strengths of static rights enforcement and dynamic illegal content tracking. The issues of accuracy and huge computation cost in copy detection have been addressed by the introduced content-based techniques. Our experiments demonstrate the efficacy of proposed copy detector.