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Video steganalysis method based on local cost non-optimal statistics

A local cost, video steganography technology, applied in the field of digital video information hiding, to achieve the effect of high detection accuracy

Inactive Publication Date: 2015-09-02
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0019] 6) Cover: original video, without steganographic processing

Method used

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  • Video steganalysis method based on local cost non-optimal statistics
  • Video steganalysis method based on local cost non-optimal statistics
  • Video steganalysis method based on local cost non-optimal statistics

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Embodiment Construction

[0057] A general steganalysis method for digital video provided by the invention includes a training process and a prediction process. The training process includes calibrating, extracting features, and calculating thresholds for all videos in the training sample set; the prediction process includes calibrating and extracting features in the same way for the video to be tested, comparing the feature values ​​with the trained thresholds, and judging whether the video is for steganographic video. Steganalysis detection idea of ​​the present invention is as follows:

[0058] When encoding video, in order to improve compression efficiency, it is necessary to make the coded stream of the video as small as possible. Therefore, in the process of inter-frame coding, the number of coding bits used to encode the motion vector MV and the residual block should be as small as possible, that is, the coding cost of the current block should be the smallest, which requires the selection of th...

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Abstract

The invention provides a video steganalysis method based on partial cost non-optimal statistics. A fundamental principle of producing a motion vector is deeply excavated in the steganalysis method. The video steganalysis method based on the partial cost non-optimal statistics starts from the local optimum characteristics which should be kept and produced by the motion vector, and thereby the steganalysis method is enabled not to be limited to a particular video coding standard and a coding tool, is applicable to video encoding formats adopting interframe prediction technology such as moving picture expert group (MPEG)-2, MPEG-4 and H.264 and has good and wide generality and a high detection accurate rate. The video steganalysis method based on the partial cost non-optimal statistics can be applied to national security, army, government and enterprise sectors, achieves effective detection and monitoring of video content security, prevents illegal personnel from transferring intelligence information with a large data amount through video data and has important research significance and application values for ensuring the national intelligence safety, preventing enterprise confidential information from being revealed and the like.

Description

technical field [0001] The invention relates to the field of digital video information hiding, in particular to a general steganographic analysis method for digital video motion vector steganography. Background technique [0002] With the development of video compression technology, network communication technology and network streaming media business, video has gradually become the mainstream media for network information transmission. The increasing popularity of home cameras and smart phones, as well as the application of various easy-to-operate video editing software, make it easy for people to record and edit videos, and use network communication tools, such as YouTube, Youku and other video sharing platforms to quickly and easily Pass video data. At the same time, because video has an absolutely large redundant space for information hiding, it is already the best covert communication carrier after images. As an information security technology, information hiding tech...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/467H04N19/61H04N19/56H04N19/147H04N19/513
Inventor 任延珍王丽娜翟黎明王旻杰朱婷婷
Owner WUHAN UNIV
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