Title
Source camcorder identification from cropped and scaled videos
Abstract
In the field of imaging device identification, the unique property of Photo-Response Non-Uniformity (PRNU) is widely employed. One of disadvantages of the PRNU based methods is sensitive to de-synchronization attacks. In this paper, we propose an improved PRNU based camcorder identification method which performs well with simultaneously cropped and scaled videos. The proposed method solves the out-of-sync problems by achieving downscale-tolerance of Minimum Average Correlation Energy Mellin Radial Harmonic (MACE-MRH) filter. The experimental results demonstrate that the proposed method identifies source devices faster and more accurate than the existing method.
Year
DOI
Venue
2012
10.1117/12.907311
Proceedings of SPIE
Keywords
Field
DocType
video
Computer vision,Harmonic,Artificial intelligence,Physics
Conference
Volume
ISSN
Citations 
8303
0277-786X
3
PageRank 
References 
Authors
0.50
9
5
Name
Order
Citations
PageRank
Dai-Kyung Hyun162.58
Seung-Jin Ryu21028.03
Min-Jeong Lee321114.49
junhee lee430.50
Heung-kyu Lee5101687.53