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Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application Read chapter Read first chapter

2015 | OriginalPaper | Chapter

A Video Steganalysis Algorithm for H.264/AVC Based on the Markov Features

Authors : Ting Da, ZhiTang Li, Bing Feng

Published in: Intelligent Computing Theories and Methodologies

Publisher: Springer International Publishing

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Abstract

A new steganalysis algorithm based on the features of the original domain was proposed combining spatial correlation with temporal correlation among video frames. First, divide video frames into a new kind of special frame structure of P0-I-P1, calculate the luminance component for every frame of the macroblocks. And then we use the Eulerian-distance of vectors to express the correlation between macroblocks to get the most similar macroblock of adjacent frames. Thus, we combine the co-occurrence matrix model with Markov model into the P0-I and I-P1 frame type. We try to determine whether any data hiding is embedded in the video according to the changes of correlation between video frames. The experimental results show that the algorithm proposed in this paper has a high detection probability, and it calls the promising result and deserves further studies.

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Metadata
Title
A Video Steganalysis Algorithm for H.264/AVC Based on the Markov Features
Authors
Ting Da
ZhiTang Li
Bing Feng
Copyright Year
2015
Book
Intelligent Computing Theories and Methodologies

Print ISBN: 978-3-319-22185-4

Electronic ISBN: 978-3-319-22186-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-22186-1_5

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