A Video Steganalysis Method Based on Motion Vector Residual Correlation

Abstract

The invention discloses a video steganography analysis method based on the motion vector difference correlation. The video steganography analysis method comprises the following steps of: firstly, due to theoretical analysis and experimental comparison, proving that the motion vector difference is superior to the traditional adjacent motion vector difference value in the aspects of the distribution compactness, the statistical variety, the application universality and the characteristic discrimination; and secondly, constructing steganography analysis characteristics by utilizing a co-occurrence matrix according to change of the external correlation and the internal correlation of the motion vector difference before and after steganography embedding. Currently, all steganography analysis characteristics based on a motion vector are constructed by utilizing the correlation of a difference value between adjacent motion vectors, and only can be used in a coding condition that video macro blocks are same in size; the fact that characteristic construction is carried out by utilizing the motion vector difference generated in a video coding process is provided in the invention for the first time; the characteristic universality is relatively high; the video steganography analysis method can be widely applicable to all kinds of video coding standards; in addition, the characteristic sensibility based on the motion vector difference correlation is relatively high; and the steganography analysis detection effect is improved easily.

Description

technical field [0001] The invention belongs to the technical field of multimedia security and digital media processing, in particular to a steganalysis method for judging whether a digital video is embedded with secret information. Background technique [0002] Modern steganography is a technology that uses digital media for secret communication, and steganalysis is a reverse detection technology of steganography, whose goal is to determine whether there is secret information hidden in digital media such as images, audio, and video. With the popularity of video capture equipment and the popularity of Internet video applications, digital video has become a hidden carrier that is easy to obtain; the composition of digital video is rich and diverse, such as motion vectors, luminance or chrominance transformation coefficients, macroblock prediction modes and segmentation modes etc., can be used to design a variety of steganographic methods. In recent years, digital video-based...

AI Technical Summary

Problems solved by technology

[0027] In order to solve the problems existing in the existing NMVD-based steganalysis features, the present invention provides a video steganalysis method based on motion vector residual correlation with strong versatility and high accuracy

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