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Local feature extraction for video copy detection in a database

9 years 5 months ago
Local feature extraction for video copy detection in a database
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.
Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Kat
Added 20 Oct 2009
Updated 20 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
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