Application of BPCS stenography to wavelet compressed video
Abstract: This paper presents a stenography method using lossy compressed video which provides a natural way to send a large amount of secret data. The proposed method is based on wavelet compression for video data and bit-plane complexity segmentation (BPCS) stenography. In wavelet-based video compression methods such as 3-D set partitioning in hierarchical trees (SPIHT) algorithm and motion-JPEG2000, wavelet coefficients in discrete wavelet transformed video are quantized into a bit..............etc

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Stenography
Introduction
Steganography is the art and science of hiding communication; a steganographic system Thus embeds hidden content in unremarkable cover media so as not to arouse an eaver droppers suspicion In the past, people used hidden tattoos or invisible ink to convey steganographic content oday, computer and network technologies provide easy to-use communication channels for steganography. Essentially, the information-hiding process in a steganographic system starts by ide..............etc

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i want the pdf a web search engine based approach to measure semantic similarity between words pdf free download
a web search engine based approach to measure semantic similarity between words ..............etc

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Objective
Program in “LEX” to count number of Characters, Words, Lines.

%{
int nchar=0,nword=0,nline=0;
#include
%}
%%
\n {nline++;nchar++;}
+ {nword++;nchar+=yyleng;}
. {nchar++;}
%%
int main()
{
yylex();
printf(%d%d%d,nchar,nword,nline);
}
..............etc

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Description : Steganography is the art and science of writing hidden messages in such a way that no one apart from the sender and intended recipient even realizes there is a hidden message. By contrast, cryptography obscures the meaning of a message, but it does not conceal the fact that there is a message. Today, the term steganography includes the concealment of digital information within computer files. For example, the sender might start with an ordinary-looking image file, then adjust the color of every 100th pixel to correspond to a lette..............etc

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Summary
This paper proposes a new approach investigating the applicationof moment method to evaluate a set of candidate features and toselect an informative subset to be used as input data for a neuralnetwork classifier. The first step (pre-processing) of proposedmethod takes into account the discriminative properties ofinvariant krawtchouk moments. The second step (recognition) isachieved by using multilayer feedforward neural network(MFNN) as a classifier with the stochastic back propagation as alearning algorithm. Finite vectors obt..............etc

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