多媒体取证与图像和视频中的虚假信息:经验教训和新挑战

R. Caldelli
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引用次数: 0

摘要

从摄影出现之初,到数字时代,图像和视频被编辑,不仅是为了提高它们所代表的视觉质量,而且还改变了已经获得的东西,使现实变得神秘。这样做通常是为了把不同的意思传递给观察者,基本上是误导他/她的观点。另一方面,多年来,对能够发现这种变化的更有效的防御工具的需求有所增加。随着基于深度学习的技术的出现,这一点变得尤为重要,这些技术可以很容易地在内容操作(深度伪造)和多媒体合成生成中实现逼真的结果。本次演讲将提供一种贯穿各种操作的演变,并平行关注各种多媒体取证技术和方法[1,2]。将进行一项分析,试图了解需求和解决方案是如何演变的[3],以便吸取经验教训,并使未来的研究挑战个性化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multimedia Forensics versus disinformation in images and videos: lesson learnt and new challenges
From the very beginning when photography appeared and then much more in the digital era, images and videos have been edited not only to improve the visual quality of what they represented but also to change what had been acquired to mystify the reality. This is often done in order to transfer a different meaning to the watcher and basically mislead his/her opinion. On the other side, during the years, the need for even more effective defense instruments able to detect such alterations has increased. This has become particularly crucial with the advent of deep-learning based techniques that have allowed to rather easily achieve realistic results in content manipulation (deepfakes) but also in multimedia synthetic generation. This talk will provide a look throughout the evolution of the various kinds of manipulations with a parallel focus on the diverse multimedia forensic techniques and approaches [1, 2]. An analysis will be carried out to try to understand how needs and solutions have been evolved [3] in order to fix the lesson learnt and to individuate future research challenges.
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