Image and Video Processing History Recovery

Bianchi, Tiziano; Piva, Alessandro

doi:10.1002/9781118705773.ch15

Cited by 2 publications

(1 citation statement)

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“…New forms of manipulations are invented by the day, and cannot be represented in the training set when they first appear. Moreover, images and videos can undergo a long sequence of transformations [200] and accounting for all of them is not reasonable. Working well with aligned One-class methods seem to perform reasonably well also in challenging real-world conditions, and this looks as a promising approach to deal with such complex scenarios.…”

Section: Considerationsmentioning

confidence: 99%

Media Forensics and DeepFakes: an overview

Verdoliva¹

2020

Preprint

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With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now guarantee a very advanced level of realism. The boundary between real and synthetic media has become very thin. On the one hand, this opens the door to a series of exciting applications in different fields such as creative arts, advertising, film production, video games. On the other hand, it poses enormous security threats. Software packages freely available on the web allow any individual, without special skills, to create very realistic fake images and videos. So-called deepfakes can be used to manipulate public opinion during elections, commit fraud, discredit or blackmail people. Potential abuses are limited only by human imagination. Therefore, there is an urgent need for automated tools capable of detecting false multimedia content and avoiding the spread of dangerous false information. This review paper aims to present an analysis of the methods for visual media integrity verification, that is, the detection of manipulated images and videos. Special emphasis will be placed on the emerging phenomenon of deepfakes and, from the point of view of the forensic analyst, on modern data-driven forensic methods. The analysis will help to highlight the limits of current forensic tools, the most relevant issues, the upcoming challenges, and suggest future directions for research.

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Section: Considerationsmentioning

confidence: 99%