Adobe is purchasing cloud-based video collaboration platform Frame.io for $1.275 billion in a deal expected to close in Q4 2021, which ends in late November. Frame.io co-founder and chief executive Emery Wells and co-founder John Traver will join Adobe, with Wells leading the Frame.io team and reporting to Adobe chief product officer Scott Belsky, who is also executive vice president of Adobe Creative Cloud. Adobe will integrate the company’s review-and-approval functionality with Premiere Pro, After Effects, Photoshop, Illustrator and “other Adobe Creative Cloud applications.” Continue reading Adobe Is Buying Collaborative Video Software Firm Frame.io

Adobe released a beta version of a Photoshop tool that will make it easier to determine if an image is real or has been manipulated. The so-called attribution tool, which will first be tested with a select group of people, enables photo editors to attach more detailed, secure metadata to images. In addition to including who created the image, the metadata will provide information on how it was altered and if AI tools were used to do so. Adobe said it will also be clear if the metadata has been tampered with. This could be a step toward combatting deepfakes. Continue reading Adobe Beta-Testing New Tool to Detect Manipulated Images

Movies and TV shows have combined real and CG images for decades, for the purpose of entertainment. But we’re seeing the rise of deepfakes, which mix fake and real elements in still images or videos with a malignant or harmful aim. Many Big Tech companies that have benefited from letting users post and share photos are now turning their attention to battling deepfakes. According to cybersecurity startup Deeptrace, the number of deepfakes online has nearly doubled to 14,678 from December 2018 to August 2019. Continue reading Big Tech, DARPA Ramp Up Deepfake Research, Detection

At the Adobe MAX conference in Los Angeles this week, the company gave a sneak peek of its Project Awesome Audio, which will clean up problematic audio recordings in Adobe Audition with the click of a button. The project is the brainchild of Adobe research scientist Zeyu Jin who, back in 2016, demonstrated a tool that allows the user to easily insert speech into an existing clip. For Project Awesome Audio, Jin, with Princeton University computer science PhD student Jiaqi Su, leveraged Adobe’s Sensei AI for “end-to-end audio enhancement.” Adobe also showcased a mobile Photoshop app, a new AR authoring app, and more. Continue reading Adobe Reveals AI-Enabled One-Click Audio Enhancement

With the beta of iOS 13.2 arriving with the new iPhone 11, Apple is previewing Deep Fusion, the company’s name for machine learning-aided computational photography to enhance details. The trick of snapping multiple exposures that are then composited into an ideal photo might not sit well with professional photographers, but the A13 Bionic-enabled iPhone 11 will do just that, beginning to shoot before the shutter button is pressed and then picking the best bits of the photos to create the best one possible. Continue reading iPhone 11’s Deep Fusion Creates Composited HDR Images

Adobe plans to release three apps — Aero, Fresco and Photoshop for the iPad — that focus on mixing physical elements with digital ones. The apps will allow users to switch back and forth easily between mobile and desktop devices and are cloud-native, enabling easy collaboration. The company’s chief technology officer Abhay Parasnis also recently showcased Project Glasswing, a mixed reality display prototype that will bring all the apps’ features as Photoshop or After Effects layers on a transparent screen in front of real 3D objects. Continue reading Adobe Develops AR Software, Mixed Reality Display Tech

On February 9, the Academy of Motion Picture Arts and Sciences presented Scientific and Engineering Awards to the teams behind Adobe’s After Effects and Photoshop. David Simons, Daniel Wilk, James Acquavella, Michael Natkin and David M. Cotter accepted the award for After Effects for motion graphics. Thomas Knoll and John Knoll accepted the award for the original architecture, design and development of Photoshop, and Mark Hamburg for its continued development and engineering. Both tools are a mainstay in the film and television industry. Continue reading Photoshop and After Effects Honored With Sci-Tech Awards

At its Adobe MAX show in Los Angeles this week, the company debuted a preview of Photoshop for iPad, stating plans to bring the full version to other tablets. The iPad Photoshop app is based on current code for the desktop version, and, within a few versions, will offer identical tools as the desktop version, including layers, masking and 3D. This move comes after Adobe brought Lightroom to mobile devices; at MAX, the company unveiled facial recognition, improved search and updated sharing tools for Lightroom. Continue reading Adobe Previews Photoshop for iPad and Lightroom Updates

Adobe Systems, now focused on a strategy to make its popular software compatible across multiple devices, plans to introduce a full version of its popular Photoshop app for Apple’s iPad, said sources. The app, which will likely be introduced at the company’s October creative conference, is also intended to drive new subscriptions. The new Adobe app for iPad will be released widely in 2019, although engineering could still change the dates. Adobe switched its business model to a software subscription model in 2012. Continue reading Adobe Updates Creative Cloud with Photoshop App for iPad

Nvidia debuted a deep learning method that can edit or reconstruct an image that is missing pixels or has holes via a process called “image inpainting.” The model can handle holes of “any shape, size, location or distance from image borders,” and could be integrated in photo editing software to remove undesirable imagery and replace it with a realistic digital image – instantly and with great accuracy. Previous AI-based approaches focused on rectangular regions in the image’s center and required post processing. Continue reading Nvidia’s New AI Method Can Reconstruct an Image in Seconds

Snapchat launched its Lens Studio AR developer tool for desktop that enables users to build augmented reality experiences for the platform. Anyone can now create World Lenses for adding interactive 3D objects to photos and video content. “But brands, news publishers and developers will have to promote their own Lenses by marketing their QR Snapcodes that users scan to unlock an AR effect for 24 hours,” reports TechCrunch. “That’s because Snapchat won’t display these Community Lenses in its camera unless businesses pay a partnered creative agency to build them a special effect and then buy Sponsored Lens ads from Snap.” Continue reading Snapchat Users Can Now Create World Lenses with AR Tool

Adobe’s research team is working on a visual effects tool, codenamed Cloak, for easy and economical removal of rigs, power lines and other unwanted parts of an image. The tool is similar to Photoshop’s content-aware fill feature that lets the user select and delete unwanted elements in the image, with “intelligent” software filling in the missing background behind them. Doing the same thing with video, however, is more challenging, which is why Cloak is still in an experimental stage, with no release date slated. Continue reading Adobe Experiments With Easy Object Removal Tool for Video

Startup camera company Light just debuted the L16, which weighs less than a pound, has a form factor small enough to fit in a back pocket and replaces one large lens with 16 smaller lenses and sensors that produce a 52-megapixel image. That image compares to the typical smartphone’s 12-megapixel image or 30-megapixel image from a DSLR camera. The L16 — intended for photography, not video, and priced at $1,950 — also offers an adjustable optical zoom that allows the user to change the level of background blur and focus. Continue reading Unique Compact Still Camera Captures 52-Megapixel Images

The traditional bluescreen/greenscreen method of extracting foreground content from the background for film and video production may be on its way out. That’s due to research that Adobe is doing in collaboration with the Beckman Institute for Advanced Science and Technology, to develop a new system that relies on deep convolutional neural networks. A recent paper, “Deep Image Matting,” reports that the new method uses a dataset of 49,300 training images to teach the algorithm how to distinguish and eliminate backgrounds. Continue reading Adobe’s AI-Enabled System Could Replace Greenscreen Tech

FaceApp relies on neural networks to paste a smile on a person’s photo or change his gender or age. The iOS app doesn’t always work reliably; if the person’s face is large, has a beard or isn’t looking straight at the camera, for example, the results can be unconvincing. Switching genders can produce convincing results, but can only be accessed in “collage” mode, for a very small image. But FaceApp, similar to the Prisma app that uses artificial intelligence to make selfies look like famous paintings, proves that AI is making it easier to manipulate photographs. Continue reading FaceApp Uses Neural Networks to Alter Age, Gender in Photos