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Multi-objective optimization H.264 video steganography method with constraint conditions

A multi-objective optimization and constraint technology, applied in the field of multi-objective optimization H.264 video steganography, can solve problems such as poor performance and not considering local optimality

Inactive Publication Date: 2019-08-20
SUN YAT SEN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0015] In order to solve the relatively poor performance in the prior art against the video steganalysis method based on motion vector correlation and motion vector local optimality, and does not take into account the deficiency of local optimality based on rate-distortion function, the present invention Provides a multi-objective optimized H.264 video steganography method with constraints

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  • Multi-objective optimization H.264 video steganography method with constraint conditions
  • Multi-objective optimization H.264 video steganography method with constraint conditions
  • Multi-objective optimization H.264 video steganography method with constraint conditions

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Embodiment 1

[0131] Such as figure 1 , figure 2 as well as image 3 As shown, a multi-objective optimization H.264 video steganography method with constraints includes the following steps:

[0132] Step S1: Establishing a three-dimensional set of motion vectors according to the temporal and spatial positions of the motion vectors in a video, and determining the correlation measurement factor of the motion vectors on the three-dimensional set of motion vectors;

[0133] Step S2: Confirm the local optimal motion vector set Ω in the video S and Ω T , and modify the locally optimal motion vector set Ω S and Ω T ;

[0134] Step S3: Confirm the horizontal component forbidden mode set F of each motion vector in the video h and the forbidden pattern set F of the vertical component v ;

[0135] Step S4: According to Ω S , Ω T , F h and F v These four sets solve the locally optimal constraints of any one motion vector in the three-dimensional set of motion vectors;

[0136] Step S5: C...

Embodiment 2

[0243] Such as Figure 4 , as shown in Table 1, Figure 4 Under different encoding parameters, the security of the algorithm UEDWR proposed by Aly [1], Yao [2], Zhang [3] and this patent against the steganalysis algorithm based on the local optimal characteristics of the motion vector is demonstrated. The detection algorithm is NPEFLO (Near Perfect Estimation For Local Optimality), see the paper [6] for details. Load is measured in average embedded bytes per motion vector - bpmv (bits per motion vector). in Figure 4 (1) The experimental parameter condition is QP=28, the frame structure is IPPPP, and the motion search method is EPZS [7]; Figure 4 (2) The experimental parameter condition is QP=28, the frame structure is IBBBP, and the motion search method is EPZS; Figure 4 (3) The experimental parameter condition is QP=28, the frame structure is IBBBP, and the motion search method is HEX [8]; Figure 4 The experimental parameter condition of (4) is QP=18, the frame struc...

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Abstract

The invention relates to a multi-objective optimization H.264 video steganography method with constraint conditions. A multi-objective optimization cost function with the constraint conditions comprises an expression of a time-space domain motion vector correlation measurement factor, an expression and a calculation mode of a motion vector local optimal constraint condition, and an expression anda calculation mode of a reconstructed frame error constraint condition based on motion vector classification. According to the method, the safety performance of the steganography algorithm for resisting different types of steganography analysis algorithms is greatly improved, the application range of the algorithm is enlarged, the influence on the objective quality of the video is reduced, the performance of the algorithm for resisting the steganography analysis algorithm based on the local optimal characteristic of the motion vector is further improved, and the safety is improved.

Description

technical field [0001] The present invention relates to the field of information encryption, and more specifically, relates to a multi-objective optimized H.264 video steganography method with constraints. Background technique [0002] Multimedia information steganography is an information security technology that embeds secret information into multimedia files and hides the fact of information transmission by making a small amount of modification to some data in multimedia files. At present, there are many steganographic algorithms applied to images, and have achieved good results. However, due to the unreasonable increase in the demand for hidden capacity and the development of behavior-oriented steganalysis methods, image steganography algorithms are gradually unable to meet the changing needs, and the research on new steganographic carriers is becoming more and more urgent. In this case, due to its huge data volume, video has increasingly become the focus of research on...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N1/32H04N1/44H04N19/44H04N19/513H04N19/70H04N19/91
CPCH04N1/32149H04N1/4446H04N19/44H04N19/513H04N19/70H04N19/91
Inventor 朱宝林倪江群
Owner SUN YAT SEN UNIV