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Steganalysis algorithm specific to H.264 video motion vector information embedment

A technology of motion vector and steganalysis, applied in the field of information hiding, can solve problems that need to be improved

Inactive Publication Date: 2016-08-17
ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
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AI Technical Summary

Problems solved by technology

The existing detection algorithms still need to be improved in terms of applicability and detection accuracy, so the detection algorithm specially designed for H.264 standard video motion vector embedding has certain practical value

Method used

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  • Steganalysis algorithm specific to H.264 video motion vector information embedment
  • Steganalysis algorithm specific to H.264 video motion vector information embedment
  • Steganalysis algorithm specific to H.264 video motion vector information embedment

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Embodiment Construction

[0067] The present invention will be further explained below in conjunction with specific embodiments and the drawings in the specification.

[0068] The video steganalysis of the present invention is based on the H.264 / AVC standard, and specifically performs steganalysis for the motion vector embedding method in H.264 video. The key technology is how to quickly and effectively perform steganalysis on H.264 video. Especially for the embedding algorithm that can keep the statistical characteristics unchanged and the low embedding rate has a high detection rate, see image 3 ,details as follows:

[0069] 1) Motion vector extraction:

[0070] Carrying out steganalysis for motion vectors. Accurate extraction of motion vectors is the prerequisite for steganalysis. For H.264 bitstreams, to extract motion vectors, you must first decode them. At present, it meets the coding standards of H.264. There are many encoders, and different encoders generally need their corresponding decoders to dec...

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Abstract

The invention discloses a steganalysis algorithm specific to H.264 video motion vector information embedment. The algorithm aims at rapidly and effectively carrying out steganalysis to an H.264 video, and especially has relatively high detection rate specific to an embedding algorithm which keeps statistic characteristics unchanged and a low embedding rate relatively well. The technical scheme used by the invention is that motion vectors are accurately extracted; high order differential characteristics are designed on the basis of first order differential characteristics; according to this kind of characteristics, steganalysis can be carried out relatively well on a steganography algorithm which compensates vector statistic characteristics; multiple simple classifiers are trained by using integrated learning thought; an integrated steganography classifier based on FLD is designed; and the integrated classifier is relatively greatly improved in classification speed; and compared with single same classifiers, the integrated classifier has higher classification accuracy.

Description

Technical field [0001] The invention belongs to the technical field of information hiding, and specifically relates to a steganalysis algorithm for the embedding of H.264 video motion vector information. Background technique [0002] Steganography and steganography analysis are the main content of information hiding technology. As an important means of information security transmission, steganography technology can be applied to military, intelligence, national security and other levels to provide technical guarantee for communication security. Due to the large data redundancy of the video carrier and the relatively weak sensitivity of human eyes to moving images, digital video provides the necessary conditions for large-capacity covert communication. At present, research on video hiding technology is heating up, and software that uses digital video as a carrier to hide information has also appeared one after another on the Internet. The steganalysis of video information must be...

Claims

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Application Information

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IPC IPC(8): H04N19/467H04N17/00
CPCH04N17/00H04N19/467
Inventor 钮可杨晓元张敏情李宁波杨海滨张卓刘佳张英男
Owner ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
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