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High-embedding-capacity video steganography method and system based on time sequence residual convolution modeling

A technology of video steganography and convolution, which is applied in the field of information hiding, can solve the problems of inability to achieve optimal results and low information embedding in the field of video steganography, and achieve enhanced anti-steganographic analysis capabilities, improved visual effects, and imperceptible Enhanced effect

Active Publication Date: 2019-10-08
PEKING UNIV +1
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Problems solved by technology

[0006] Aiming at the problems that the traditional video steganography method has a low amount of information embedding and the image steganography method cannot achieve optimal results when it is extended to the field of video steganography, this invention proposes a novel high embedding capacity video steganography technology

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  • High-embedding-capacity video steganography method and system based on time sequence residual convolution modeling
  • High-embedding-capacity video steganography method and system based on time sequence residual convolution modeling
  • High-embedding-capacity video steganography method and system based on time sequence residual convolution modeling

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[0037] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below through specific embodiments and accompanying drawings.

[0038] In one embodiment of the present invention, a high embedding capacity video steganography method based on temporal residual convolution modeling is provided, comprising the following steps:

[0039] 1. To be embedded video preprocessing. First, the first frame of the input secret video is marked as a reference frame, and then the amount of change between each subsequent frame and the reference frame is calculated. If it is less than the set threshold, it is marked as a residual frame, otherwise it is marked as a new reference frame. Repeat the above steps until all frames in the video are marked.

[0040] 2. Hide secret information. First select a steganographic video and divide it into video frames (cover). Then match it with the video...

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Abstract

The invention relates to a high-embedding-capacity video steganography method and system based on time sequence residual convolution modeling. The method comprises the following steps: marking a reference frame and a residual frame of a secret video, simultaneously processing the reference frame and the residual frame by adopting a Y-shaped convolutional neural network to hide secret information and output a carrier video frame, and synthesizing the carrier video frame into a carrier video; and recovering secret information in the carrier video by adopting a Y-type convolutional neural network. Compared with a convolutional neural network-based image steganography algorithm which is directly applied to video steganography, the video steganography method has the advantages that the sparsityof a residual error between continuous frames is explored, two Y-type convolutional neural network structures are adopted, different endpoint processing is adopted for video frames with different properties, and part of convolutional layer parameters are shared at the same time. One video can be hidden in the other video with the same length, the hidden information amount can reach 24 bpp and ismuch larger than that of a traditional method, and the problem that the traditional method cannot be applied to high-embedding-capacity video steganography is solved to a great extent.

Description

technical field [0001] The invention belongs to the field of information hiding, and relates to a video steganography method, in particular to a high embedding capacity video steganography method and system based on time series residual convolution modeling. [0002] technical background [0003] Video steganography is an important research direction in the field of information hiding. Using the redundancy of video to embed secret information can realize covert communication in open channels (G.Abboud, J.S.Marean, and R.V.Yampolskiy. Steganography and visual cryptography in computer forensics. In SADFE, 2010.). The goal of video steganography is to embed a secret message (secret) into a video (referred to as cover video in this invention), obtain a carrier video (container), and then secretly communicate with a receiver who knows the decryption protocol. The recipient needs to recover the revealed secret from the carrier video. Unlike cryptography, steganography aims to hid...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/467H04N19/172G06N3/04
CPCH04N19/467H04N19/172G06N3/045
Inventor 翁昕钰李勇志迟禄陈刚王成成黄波韩峻糜俊青穆亚东
Owner PEKING UNIV
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