%A Ehsan Maani
%A Sotirios A. Tsaftaris
%A Aggelos K. Katsaggelos
%D 2008
%L eprints820
%I IEEE
%X In this paper a new content-based copy identification method for video sequences is presented. It is robust to a number of image transformations and particulary robust to compression artifacts. A scale and rotation invariant local image descriptor for corner points in detected key frames is proposed based on a generalized Radon transform. In addition, a distance similarity metric is used that fuses intensity and geometry information to compare key frames extracted using a scene detection algorithm. Furthermore, to achieve low querying computational complexity a DP approach is employed. Experimental results demonstrate the effectiveness of our approach.
%K content-based copy identification method; copyright protection; digital video fingerprinting; generalized Radon transform; image transformations; local feature extraction; local image descriptor; video copy detection; video sequences; Radon transforms; content-based retrieval;copyright;digital rights management;feature extraction;image sequences;
%B IEEE International conference on image processing (ICIP 2008)
%R 10.1109/ICIP.2008.4712105
%T Local feature extraction for video copy detection in a database
%P 1716 -1719