A Content Protection Scheme for H.264-based Video Sequence
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03
Digital Watermarking and Steganography
Digital Watermarking and Steganography
Digital Video Watermarking in P-Frames With Controlled Video Bit-Rate Increase
IEEE Transactions on Information Forensics and Security
A Framework for Robust Watermarking of H.264-Encoded Video With Controllable Detection Performance
IEEE Transactions on Information Forensics and Security
Hidden messages in heavy-tails: DCT-domain watermark detection using alpha-stable models
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
IEEE Transactions on Image Processing
Asymptotically optimal detection for additive watermarking in the DCT and DWT domains
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
On the modeling of DCT and subband image data for compression
IEEE Transactions on Image Processing
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Detection performance of additive spread-spectrum watermarks depends on the statistical host signal model employed to derive the detection statistic. When transform coefficients are heavily quantized, the assumption of a Cauchy or Generalized Gaussian Distribution (GGD) is hard to justify and the estimation of model parameters becomes inaccurate. In this paper we derive a Likelihood-Ratio Test (LRT) based on the product of Bernoulli distributions. The watermark detector is designed to operate on quantized (integer) transform coefficients and therefore permits straightforward integration of the watermarking scheme in popular image and video codecs. Detection performance surpasses the linear correlation detector and is competitive with the computationally more demanding LRT based on a GGD.