Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 11th international conference on World Wide Web
Protecting digital archives at the Greek Orthodox Archdiocese of America
Proceedings of the 3rd ACM workshop on Digital rights management
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A peer-to-peer approach to collaborative repository for digital libraries
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
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There's a pressing need for protecting digital library (DL) collections since digital objects can be easily copied, edited, and redistributed. Digital content protection is thus attracting attention. In this paper, we propose a peer-to-peer approach to collaborative Web image copy detection for protecting DL collections, which is helpful to public libraries with limited resources. We design a collaborative framework that incorporates multiple peers to share the loads of crawling and copy detection tasks. It facilitates better utilization of limited network and computing resources. Our experiment results demonstrate the efficacy and potential of the proposed approach. Further investigation is needed to verify its scalability.