TY  - CHAP
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4712105&isnumber=4711669
N2  - 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.
KW  - 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;
AV  - none
ID  - eprints820
TI  - Local feature extraction for video copy detection in a database
Y1  - 2008/10//
SP  - 1716 
T2  - IEEE International conference on image processing (ICIP 2008)
A1  - Maani, Ehsan
A1  - Tsaftaris, Sotirios A.
A1  - Katsaggelos, Aggelos K.
SN  - 978-1-4244-1765-0 
EP  - 1719
PB  - IEEE
ER  -