Method for detecting video tampering of overcomplete dictionary training based on sparse representation
An over-complete dictionary and sparse representation technology, applied in the field of electronic forensics, can solve the problems of influence, detection and many parameters that need to be configured according to experience.
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[0057] In this example, the video tampering detection method based on sparse representation and over-complete dictionary training is used to detect the authenticity of suspicious video sequences. The original video sequences used in the example are all taken by cameras in the field. The digital camera model used for shooting videos is: SONY DSC -P10. The scenes were shot with static backgrounds and moving foregrounds, and the videos were compressed using Mokey, developed by Imagineer Systems. The computer configuration used in the experiment of this embodiment is as follows:
[0058] Central processing unit: Intel(R) Core(TM)2 Quad CPU Q8300 quad-core 2.50GHz;
[0059] Memory size: 2G;
[0060] Graphics card: NVIDIA GeForce GTS 450
[0061] Operating system: Microsoft Windows XP SP3;
[0062] figure 1 Provided detection method flow chart of the present invention, now with reference to figure 1 The specific operation process of this video tampering detection method based ...
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