relation: http://eprints.imtlucca.it/820/
title: Local feature extraction for video copy detection in a database
creator: Maani, Ehsan
creator: Tsaftaris, Sotirios A.
creator: Katsaggelos, Aggelos K.
subject: QA75 Electronic computers. Computer science
subject: TK Electrical engineering. Electronics Nuclear engineering
description: 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.
publisher: IEEE
date: 2008-10
type: Book Section
type: PeerReviewed
identifier:   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)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4712105&isnumber=4711669
relation: 10.1109/ICIP.2008.4712105