Video tampering detection method and system, storage medium, computer program and terminal

Abstract

The invention belongs to the technical field of information security, and discloses a video tampering detection method and system, a storage medium, a computer program and a terminal. The method comprises using a three-frame difference method to extract a video key frame; carrying out DCT on the obtained key frame to reduce high-dimensional video data and carry out de-noising processing to obtaina sub-graph containing most signal energy; performing feature extraction on the sub-graph through an ORB algorithm; and comparing the similarity between a to-be-detected video and an original video through the Hamming distance. The detection performance of the proposed method is evaluated by using a statistical method, feature extraction is performed on the key frame of a test video by using an SIFT algorithm, an ORB algorithm and the algorithm of the invention, and the average feature point number, the average time consumption and the average storage space of the key frame are counted. According to the embodiment of the invention, the number of feature points extracted from the key frame is far less than the number of feature points extracted by an SIFT algorithm and is 40% less than thenumber of feature points extracted by an ORB algorithm.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a video tampering detection method, system, storage medium, computer program, and terminal. Background technique [0002] At present, due to the rapid development of network technology and video surveillance systems, the amount of surveillance video data has shown explosive growth. Surveillance videos always guarantee the safety of people's lives, and the authenticity of its content is becoming more and more important. Therefore, it is very necessary to ensure the authenticity and validity of the surveillance video content. Video tampering detection methods are mainly divided into two types: video active forensics technology and video passive forensics technology. Video active forensics technology mainly focuses on video watermarking and digital signatures. Video watermarking is to embed some identification information in the host video without affecting...

AI Technical Summary

Problems solved by technology

Moreover, the existing algorithms are relatively inefficient and cannot achieve the purpose of real-time forgery detection in surveillance video

The main reasons for the low efficiency of the algorithm are: usually the amount of data in the video is very large, the quality of the equipment used to capture the video varies, and the video is easily affected by external conditions when capturing the video, which brings greater difficulty to video processing

[0004] Through the above analysis, the problems and defects of the existing technology are: the current passive detection method for image tampering is relatively inefficient, and cannot achieve the purpose of real-time forgery detection of surveillance video

[0005] The difficulty in solving the above problems and defects is as follows: the amount of video data is very large, which requires high performance of the algorithm; the accuracy of video forgery detection is relatively high; the storage space of the video forgery detection process takes up more, etc.

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