Digital image integrity–a survey of protection and verification techniques
P Korus - Digital Signal Processing, 2017 - Elsevier
We are currently on a verge of a revolution in digital photography. Developments in
computational imaging and adoption of artificial intelligence have spawned new editing …
computational imaging and adoption of artificial intelligence have spawned new editing …
A self-supervised descriptor for image copy detection
Image copy detection is an important task for content moderation. We introduce SSCD, a
model that builds on a recent self-supervised contrastive training objective. We adapt this …
model that builds on a recent self-supervised contrastive training objective. We adapt this …
Deep matching and validation network: An end-to-end solution to constrained image splicing localization and detection
Image splicing is a very common image manipulation technique that is sometimes used for
malicious purposes. A splicing detection and localization algorithm usually takes an input …
malicious purposes. A splicing detection and localization algorithm usually takes an input …
Image provenance analysis at scale
Prior art has shown it is possible to estimate, through image processing and computer vision
techniques, the types and parameters of transformations that have been applied to the …
techniques, the types and parameters of transformations that have been applied to the …
Deephy: On deepfake phylogeny
Deepfake refers to tailored and synthetically generated videos which are now prevalent and
spreading on a large scale, threatening the trustworthiness of the information available …
spreading on a large scale, threatening the trustworthiness of the information available …
Automatic discovery of political meme genres with diverse appearances
Forms of human communication are not static---we expect some evolution in the way
information is conveyed over time because of advances in technology. One example of this …
information is conveyed over time because of advances in technology. One example of this …
PRNU-based image classification of origin social network with CNN
A huge amount of images are continuously shared on social networks (SNs) daily and, in
most of cases, it is very difficult to reliably establish the SN of provenance of an image when …
most of cases, it is very difficult to reliably establish the SN of provenance of an image when …
Manifold learning and spectral clustering for image phylogeny forests
The ever-increasing number of gadgets being used to create digital content, as well as the
easiness in sharing, editing, and republishing this content, brings the problem of dealing …
easiness in sharing, editing, and republishing this content, brings the problem of dealing …
[PDF][PDF] DejaVu: a system for journalists to collaboratively address visual misinformation
Journalistic work increasingly depends on information from web sources and social media.
Visual misinformation, for example images that have been manipulated or taken out of …
Visual misinformation, for example images that have been manipulated or taken out of …
Identifying image provenance: An analysis of mobile instant messaging apps
Studying the impact of sharing platforms like social networks and messaging services on
multimedia content nowadays represents a due step in multimedia forensics research. In this …
multimedia content nowadays represents a due step in multimedia forensics research. In this …