2019
DOI: 10.1016/j.diin.2019.03.006
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A review of digital video tampering: From simple editing to full synthesis

Abstract: Video tampering methods have witnessed considerable progress in recent years. This is partly due to the rapid development of advanced deep learning methods, and also due to the large volume of video footage that is now in the public domain. Historically, convincing video tampering has been too labour intensive to achieve on a large scale. However, recent developments in deep learning-based methods have made it possible not only to produce convincing forged video but also to fully synthesize video content. Such… Show more

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Cited by 41 publications
(12 citation statements)
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References 96 publications
(162 reference statements)
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“…Despite recent advances in automated deepfake detection and verification algorithms, for example, reaching as high as 92% to 98% accuracy when applied to synthesized faces of leading politicians (Agarwal et al, 2019), these strategies are nonetheless limited in scope. For instance, they can have degraded performance with reduced encoding quality and exhibit statistical uncertainties that confound clear conclusions (Johnston and Elyan, 2019;Rössler et al, 2019). According to Farid (2019), "No technique can prove authenticity .…”
Section: Verificationmentioning
confidence: 99%
“…Despite recent advances in automated deepfake detection and verification algorithms, for example, reaching as high as 92% to 98% accuracy when applied to synthesized faces of leading politicians (Agarwal et al, 2019), these strategies are nonetheless limited in scope. For instance, they can have degraded performance with reduced encoding quality and exhibit statistical uncertainties that confound clear conclusions (Johnston and Elyan, 2019;Rössler et al, 2019). According to Farid (2019), "No technique can prove authenticity .…”
Section: Verificationmentioning
confidence: 99%
“…(Corresponding author: Jing Xu and Yongwei Wang. ) been a challenging problem [6,7]. In this paper, we focus on the detection of object-based forgeries in videos.…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, the quote that 'seeing is believing' is undoubtedly sceptical [2]. For more examples of image tampering and an overview of the historical development of image forensic, there are a number of surveys and overview papers in the literature [1,[3][4][5][6][7]. A variety of algorithms have been proposed for image forensic investigation of digital images.…”
Section: Introductionmentioning
confidence: 99%