An Introduction to the JPEG Fake Media Initiative

F. Temmermans, Deepayan Bhowmik, Fernando Pereira, T. Ebrahimi
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Abstract

Recent advances in media creation and modification allow to produce near realistic media assets that are almost indistinguishable from original assets to the human eye. These developments open opportunities for creative production of new media in the entertainment and art industry. However, the intentional or unintentional spread of manipulated media, i.e., modified media with the intention to induce misinterpretation, also imposes risks such as social unrest, spread of rumours for political gain or encouraging hate crimes. The clear and transparent annotation of media modifications is considered to be a crucial element in many usage scenarios bringing trust to the users. This has already triggered various organizations to develop mechanisms that can detect and annotate modified media assets when they are shared. However, these annotations should be attached to the media in a secure way to prevent them of being compromised. In addition, to achieve a wide adoption of such an annotation ecosystem, interoperability is essential and this clearly calls for a standard. This paper presents an initiative by the JPEG Committee called JPEG Fake Media. The scope of JPEG Fake Media is the creation of a standard that can facilitate the secure and reliable annotation of media asset creation and modifications. The standard shall support usage scenarios that are in good faith as well as those with malicious intent. This paper gives an overview of the current state of this initiative and introduces already identified use cases and requirements.
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介绍JPEG假媒体倡议
媒体创作和修改的最新进展允许生产接近真实的媒体资产,几乎与原始资产的人眼无法区分。这些发展为娱乐和艺术行业的新媒体创意生产提供了机会。然而,被操纵的媒体有意或无意地传播,即意图引起误解的修改媒体,也会带来社会动荡、传播谣言以获取政治利益或鼓励仇恨犯罪等风险。媒体修改的清晰和透明的注释被认为是在许多使用场景中为用户带来信任的关键因素。这已经促使各种组织开发机制,以便在共享时检测和注释修改过的媒体资产。但是,应该以安全的方式将这些注释附加到媒体上,以防止它们被破坏。此外,为了实现这种注释生态系统的广泛采用,互操作性是必不可少的,这显然需要一个标准。本文介绍了JPEG委员会提出的一项倡议,称为JPEG假媒体。JPEG Fake Media的范围是创建一个标准,可以促进媒体资产创建和修改的安全可靠的注释。该标准应支持善意和恶意的使用场景。本文概述了该计划的当前状态,并介绍了已经确定的用例和需求。
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