At last year’s Adobe Max, Adobe announced the Content Authenticity Initiative (CAI). It was created to detect deepfake and manipulated content, and now it’s finally coming to Photoshop and Behance.
After Adobe and Jigsaw, Microsoft is also joining the game of detecting and labeling fake photos and videos with the help of AI. The company has introduced Microsoft Video Authenticator which analyzes videos in real-time and lets you know if they have been manipulated. According to Microsoft, the main goal of the new tech is to combat misinformation
Fake news, doctored images, even beauty filters – all of these seem to be more and more common, making it difficult to distinguish truth from lie. But Jigsaw wants to make it easier to debunk all that fakery we see online every day. The Alphabet-owned company has created Assembler, an AI-powered tool that detects image manipulations and combats disinformation.
This year’s Adobe MAX brought some interesting announcements and new apps. One of the new features introduced at the Sneaks event really caught our eye. It’s called Project About Face, an AI-powered tool that can detect if the image has been manipulated, It also shows where the manipulation has been applied and even helps you to revert back to the original, unaltered photo.
Peter Lik is one of the bestselling and the most successful landscape photographers in the world. But one of his recent photos has sparked a serious discussion about how much it was photoshopped. In their recent video and article, the guys from FStoppers wonder if photo titled Moonlit Dreams can possibly be real. From their debate, it appears that the Moon was photoshopped from a different image.
CVS Pharmacy, the retail division of CVS Health, has announced changes in its standards for beauty photos. The company is requiring transparency in all beauty photos created for stores, online promotion and all types of marketing material. By 2020, the company will implement its new standards and clearly mark all photos that haven’t been digitally altered.
A picture is worth a thousand words, but when the picture is doctored – it’s a thousand words long lie. And when these fake photos hit the news and ads, it becomes a problem. Sophie J. Nightingale of the University of Warwick ran a study to test how well people can detect doctored images. And the results are not encouraging. It appears that many people can’t spot a doctored image, even when the manipulations are obvious.
You may recall a couple weeks ago when a photograph of supermodel Cindy Crawford made it’s way around the internet. By modern beauty standards, especially those a model, the photo showed the 48 year old woman to have an unflattering midsection; however, much of the internet perceived the image in a positive light as it helped to break down those very same, and unfair, beauty standards women are held to. The photo was part of a shoot Crawford and photographer, John Russo were doing for the cover of Marie Claire (Mexico) in 2013, which ultimately turned out like this:[Read More…]