@inproceedings{maani2008local,
abstract = {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. {\textcopyright} 2008 IEEE.},
author = {Maani, Ehsan and Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K.},
booktitle = {2008 15th IEEE International Conference on Image Processing},
doi = {10.1109/ICIP.2008.4712105},
isbn = {978-1-4244-1765-0},
issn = {15224880},
keywords = {Copyright protection,Digital video fingerprinting},
organization = {IEEE},
pages = {1716--1719},
publisher = {IEEE},
title = {{Local feature extraction for video copy detection in a database}},
url = {http://ieeexplore.ieee.org/document/4712105/},
year = {2008}
}

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