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Multimedia data-embedding and watermarking technologies
TLDR
The reliability of data-embedding procedures and their ability to deliver new services such as viewing a movie in a given rated version from a single multicast stream are discussed.
Correlation structure of the discrete wavelet coefficients of fractional Brownian motion
It is shown that the discrete wavelet coefficients of fractional Brownian motion at different scales are correlated and that their auto- and cross-correlation functions decay hyperbolically fast at a
Digital watermarks for audio signals
TLDR
A novel technique for embedding digital "watermarks" into digital audio signals by filtering a PN-sequence with a filter that approximates the frequency masking characteristics of the human auditory system (HAS).
A construction of a space-time code based on number theory
TLDR
It is shown that the new code outperforms the Alamouti code at low and high signal-to-noise ratio (SNR) when the number of receive antennas N>1, and the performance improvement is further enhanced when N or the size of the constellation increases.
Multiresolution scene-based video watermarking using perceptual models
TLDR
The robustness of the watermarking procedure to embed copyright protection into digital video to several video degradations and distortions is demonstrated.
Geometric Invariance in image watermarking
TLDR
The proposed techniques have proven to be highly robust to all geometric manipulations, filtering, compression and slight cropping which are performed as part of StirMark attacks as well as noise addition, both Gaussian and salt & pepper.
Parametrization of compactly supported orthonormal wavelets
TLDR
It is shown that discrete orthonormal wavelets of support less than 2N-1 are parametrized by N-1 real parameters, each taking values in (0, 2 pi ).
Distributed sensor network localization using SOCP relaxation
TLDR
This paper describes a distributed localization algorithm based on second-order cone programming relaxation that shows that the sensor nodes can estimate their positions based on local information, and demonstrates the convergence of the algorithm numerically.
A binary wavelet decomposition of binary images
TLDR
A theory of binary wavelet decompositions of finite binary images is constructed in terms of two-band perfect reconstruction filter banks in GF(2) by generalizing the corresponding real field constraints of bandwidth, vanishing moments, and spectral content in the filters.
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