28 February 2018 Detecting double compressed MPEG videos with the same quantization matrix and synchronized group of pictures structure
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Abstract
Double compression detection is a crucial stage in digital image and video forensics. However, the detection of double compressed videos is challenging when the video forger uses the same quantization matrix and synchronized group of pictures (GOP) structure during the recompression history to conceal tampering effects. A passive approach is proposed for detecting double compressed MPEG videos with the same quantization matrix and synchronized GOP structure. To devise the proposed algorithm, the effects of recompression on P frames are mathematically studied. Then, based on the obtained guidelines, a feature vector is proposed to detect double compressed frames on the GOP level. Subsequently, sparse representations of the feature vectors are used for dimensionality reduction and enrich the traces of recompression. Finally, a support vector machine classifier is employed to detect and localize double compression in temporal domain. The experimental results show that the proposed algorithm achieves the accuracy of more than 95%. In addition, the comparisons of the results of the proposed method with those of other methods reveal the efficiency of the proposed algorithm.
© 2018 SPIE and IS&T
Javad Abbasi Aghamaleki, Javad Abbasi Aghamaleki, Alireza Behrad, Alireza Behrad, } "Detecting double compressed MPEG videos with the same quantization matrix and synchronized group of pictures structure," Journal of Electronic Imaging 27(1), 013031 (28 February 2018). https://doi.org/10.1117/1.JEI.27.1.013031 . Submission: Received: 3 September 2017; Accepted: 2 February 2018
Received: 3 September 2017; Accepted: 2 February 2018; Published: 28 February 2018
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