Video object removal tampering detection method based on deep learning

A video object, tampering detection technology, applied in neural learning methods, image analysis, image enhancement and other directions, can solve problems such as threatening social harmony and stability, disturbing public order, etc., and achieve the effect of broad application prospects.

Active Publication Date: 2017-12-29
HANGZHOU HUICUI INTELLIGENT TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The tampered video sequence expresses untrue semantic information. If the tampering operation is a malicious forgery, it will have very serious impact and consequences.
Dissemination via the Internet may disrupt normal public order and even threaten social harmony and stability

Method used

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  • Video object removal tampering detection method based on deep learning
  • Video object removal tampering detection method based on deep learning
  • Video object removal tampering detection method based on deep learning

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Embodiment Construction

[0032] In order to better understand the technical solutions of the present invention, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be clear that the described embodiments and all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0033] An embodiment of the present invention provides a deep learning-based video object removal and tampering detection method. figure 1 It is a schematic flow chart of the detection method provided by the embodiment of the present invention. Such as figure 1 As shown, the method includes the following steps:

[0034]Step 101, input each frame of the video sequence sequentially. A video sequence is composed of several temporally continuous and correlated images, and each image is called a frame of the video sequence. Assuming that a video sequence has N frame...

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Abstract

The invention provides a video object removal tampering detection method based on deep learning. The method comprises steps of: performing pretreatment in order to convert a video sequence into a grayscale difference image; reducing the calculation amount of convolution by maximum pooling; enhancing the difference signal of the image through high-pass filter; obtaining positive samples and negative samples with similar quantities by using an asymmetric image sub-block partitioning strategy; finally training a neural network model based on a deep learning theory; by using the trained network model, testing each video image frame of the video sequence to be tested to obtain a result of determining whether video object removal tampering occurs in each frame of the video sequence to be tested. The method can achieve video object removal tampering detection in the video sequence, determines whether video object removal tampering occurs in each frame of the video sequence, can meet the verification requirement of video integrity and authenticity, is a solution of passive video evidence acquisition and has broad application prospect.

Description

technical field [0001] The invention belongs to the field of multimedia information security, and relates to video passive forensics technology, in particular to a method for detecting video object removal and tampering based on deep learning. Background technique [0002] Vision is an important means for human beings to obtain external information, and more than 80% of the information received by human beings comes from vision. Video images are the main input media of the human visual system and an important carrier of external information. The tampering technology of video images makes the integrity, authenticity and reliability of images and videos questioned. The updates and upgrades of tools such as digital media editing software Photoshop and Premiere allow non-professionals to use software tools to tamper with images and videos. [0003] Video object removal and tampering means that an important moving object (i.e., video object) in the video frame image is covered ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/08
CPCG06N3/08G06T7/0002G06T2207/30168
Inventor 姚晔吴铤张伟任一支胡伟通
Owner HANGZHOU HUICUI INTELLIGENT TECH CO LTD
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