Paper Info
Title
Adding robustness to geometrical attacks to a wavelet based, blind video watermarking system
Abstract
This paper describes a high capacity blind video watermarking system invariant to geometrical attacks such as shift, rotation, scaling and cropping. A spatial domain reference watermark is used to obtain invariance to geometric attacks by employing image registration techniques to determine and invert the attacks. A second, high capacity, watermark, which carries the data payload, is embedded in the wavelet domain according to a human visual system (HVS) model. This is protected by a state-of-the-art error correction code (turbo code). For a false detection probability of 10-8, the proposed system is invariant to scaling up to 180%, rotation up to 70°, and arbitrary aspect ratio changes up to 200% on both axes. Furthermore, the system is virtually invariant to any shifting, cropping, or combined shifting and cropping attack, and it is robust to MPEG-2 compression as low as 2-3 Mbps.
Year
DOI
Venue
2002
10.1109/ICME.2002.1035842
Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference  
Keywords
Field
DocType
data compression,data encapsulation,error correction codes,image registration,probability,turbo codes,video coding,visual perception,watermarking,wavelet transforms,MPEG-2 compression,aspect ratio changes,blind video watermarking,data payload,error correction code,false detection probability,geometrical attacks,human visual system model,image registration,spatial domain,turbo code,wavelets
Computer vision,Digital watermarking,Computer science,Human visual system model,Watermark,Robustness (computer science),Artificial intelligence,Data compression,Payload (computing),Wavelet,Wavelet transform
Conference
Volume
Citations 
PageRank 
1
2
0.51
References 
Authors
4
4
Name
Order
Citations
PageRank
Cristian Vasile Serdean131.22
A. Ambroze27013.00
Martin Tomlinson310619.89
Graham Wade420.51