Method for detecting video tampering of overcomplete dictionary training based on sparse representation

Abstract

The invention relates to the field of electronic evidence collection, in particular to a method for detecting tampering that deleting operation is conducted on the motion foreground of a video under a video static background. The method includes the steps that a difference frame and a block are acquired, and a difference frame delta I of the difference frame and the block is acquired; self-adaptation sparsification is conducted; a measurement matrix theta is selected for sparse measurement; feature vectors acquired through sparse measurement are classified, feature clustering is conducted on categories of the feature vectors through a k-means clustering algorithm; through clustering, the method for detecting video tampering of overcomplete dictionary training based on sparse representation is achieved. The method is visual in detection result, high in robustness and antijamming capacity, accurate in detection result, high in actual application value and small in parameters needing configuring, and brings great convenience to users, and the influences of trees, flowers and plants which swing with wind in a shooting scene can be effectively avoided.

Description

technical field [0001] The invention relates to the field of electronic forensics, and relates to a tampering detection method for performing a deletion operation on a moving foreground under a static video background. Background technique [0002] With the development of digital multimedia technology, multimedia acquisition devices such as digital cameras, video cameras, and handheld DVs have gradually become a part of people's lives. At the same time, a large number of software for video processing are also widely used, such as Photoshop and Premiere pro developed by Adobe, and Mokey developed by Imagineer Systems. These software allow non-professionals to easily tamper with video after simple learning. , to achieve the effect of real ones. However, tampered videos usually change their video content and meaning, and cover up the real situation reflected by the video. These videos may be maliciously used for media propaganda, scientific discovery, insurance and court evide...

AI Technical Summary

Problems solved by technology

Zhang Mingyu of Tianjin University and others proposed a method based on cumulative difference images and using the texture features around the tampered area to detect tampering traces. This method can detect the deletion operation of moving objects in a static background, but its detection needs to be configured based on experience. There are many parameters, and the experimental results are easily affected by the environment such as trees, flowers and plants in the shooting scene.

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