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Local feature extraction for video copy detection in a database

Maani, Ehsan and Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K. Local feature extraction for video copy detection in a database. In: IEEE International conference on image processing (ICIP 2008). IEEE, 1716 -1719. ISBN 978-1-4244-1765-0 (2008)

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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.

Item Type: Book Section
Identification Number: 10.1109/ICIP.2008.4712105
Uncontrolled Keywords: 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;
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Research Area: Computer Science and Applications
Depositing User: Users 35 not found.
Date Deposited: 05 Sep 2011 14:43
Last Modified: 05 Mar 2013 15:45
URI: http://eprints.imtlucca.it/id/eprint/820

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