The world is becoming increasingly anxious about the spread of fake videos and pictures, and Adobe — a name synonymous with edited imagery — says it shares those concerns. Today, it’s sharing new research in collaboration with scientists from UC Berkeley that uses machine learning to automatically detect when images of faces have been manipulated.
It’s one more crack in the fabric of reality as we know it: Researchers at the University of Washington and Facebook have described their work on software that can take any image containing a human body—whether in a painting or a photograph—and automatically create an animated character that walks through the still image.
Adobe recently announced that it would both discontinue downloads of older versions of Creative Cloud apps (which includes Lightroom and Photoshop), and revoke the license for older software. Further, Adobe tweeted that consumers “may face potential claim
For some photographers, the thought of continuing to use Adobe’s subscription-based products is unpalatable, and fortunately, there are a number of full-featured alternatives that come without the price nor baggage.
While its specific operation is a closely-guarded secret, it’s not completely opaque. The social media scheduling tool HootSuite has published a detailed explanation of how it believes Instagram’s algorithm functions based on a briefing they’ve received from Instagram itself, plus their own research.
JPEG images are everywhere in our digital lives, but behind the veil of familiarity lie algorithms that remove details that are imperceptible to the human eye. This produces the highest visual quality with the smallest file size—but what does that look li
JPEG images are everywhere in our digital lives, but behind the veil of familiarity lie algorithms that remove details that are imperceptible to the human eye. This produces the highest visual quality with the smallest file size—but what does that look like? Let’s see what our eyes can’t see!
This new feature enables users to tap their finger to an image on a touch-screen to hear a description of objects within an image and the spatial relationship between them. Users can explore photos of their surroundings taken on the Scene channel, family photos stored in their photo browser, and even images shared on social media by summoning the options menu while in other apps.
Sometime in the not-too-distant future, anyone will be able to take a picture without a camera. Instead, we will be able to generate photographs, indistinguishable from those made by a camera, using artificial intelligence (AI) software. You will be able to create an image by simply typing out a description of the scene, or describing it to (presumably) Siri. “Siri,” you’ll say. “I’d like an image of a red-haired woman walking through a park in autumn, the breeze blowing red, orange, and yellow leaves around her.” And—though it may require more detail than that—presto! Your phone will provide various options on the screen to choose from.
It’s not that the Pixel 3 will replace your 5D or your D850. It’s that the rate of annual improvement within the smartphone ecosystem is lapping the innovation of the big camera manufacturers.
Google has officially launched its incredible “Night Sight” feature on the Pixel 3 camera app. Computational photography pioneer and Google Distinguished Engineer Marc Levoy co-wrote a blog describing all the different considerations that went into developing the jaw dropping technology that allows the Pixel to see in the dark. It’s worth a read.
The last couple of years have seen attacks on the very definition of truth. These attacks have been motivated by political positions as well as interference from other countries, but they are also enabled by technology. Image manipulation has been done for as long as images have been created, going back to the very beginning of photography.
The New York Times has teamed up with Google Cloud for digitizing five to seven million old photos in its archive. Google’s AI will also be tasked with
The New York Times has teamed up with Google Cloud for digitizing five to seven million old photos in its archive. Google’s AI will also be tasked with unearthing “untold stories” in the massive trove of historical images.
From person-to-person coaching and intensive hands-on seminars to interactive online courses and media reporting, Poynter helps journalists sharpen skills and elevate storytelling throughout their careers.
So the BBC started looking into the video, which allegedly took place in Cameroon. In July, when the video first went viral, the government there dismissed the allegations as “fake news” on the basis that the soldiers depicted were not wearing the right gear or carrying the right weapons.
Consumer video sure ain’t what it used to be. The category now includes numerous variations, ranging from full-length to short-form narratives, plus what could be called “phodeos”: hybrids of photos and videos such as Boomerang clips, Instagram Stories, and even the (now venerable) GIF animations. Due in large part to these new options that free consumers from the “one (huge) size fits all” straightjacket of the past, motion imaging is more popular now than ever.
At Netflix, the Content Platform Engineering and Global Product Creative teams know that imagery plays an incredibly important role in how viewers find new shows and movies to watch. We take pride in surfacing the unique elements of a story that connect our audiences to diverse characters and story lines. As our Original content slate continues to expand, our technical experts are tasked with finding new ways to scale our resources and alleviate our creatives from the tedious and ever-increasing demands of digital merchandising. One of the ways in which we do this is by harvesting static image frames directly from our source videos to provide a more flexible source of raw artwork.
The Hungarian software company DIRE Studio has just launched Technical Camera, a new iOS camera app that’s designed for serious photographers who want a
The Hungarian software company DIRE Studio has just launched Technical Camera, a new iOS camera app that’s designed for serious photographers who want a simple yet advanced tool for capturing still photos.
The 2018 edition of the LDV Vision Summit was, like its four predecessors, a refreshing display of creative ingenuity, stunning engineering and brilliant problem-solving. With successive keynotes never longer than 5 minutes each, subtlety interrupted by more extended fire chats or panels, there is no room for boredom. Even if a topic or speaker might not be in your field of interest, it is not long before another will keep you glued to your chair and wanting to know more. Which, thanks to the casual and friendly networking, is not hard to do. Speakers are all available to explain more if needed and do business, if appropriate. No superstars here leaving in limos the minute they step out the stage. Instead, a succession of people passionate about their work as much as the audience.
A group of scientists from Intel and the University of Illinois at Urbana–Champaign have published a paper called Learning to See in the Dark detailing a powerful machine-learning based image proce…
A group of scientists from Intel and the University of Illinois at Urbana–Champaign have published a paper called Learning to See in the Dark detailing a powerful machine-learning based image processing technique that allows regular cameras to take super-sharp pictures in very low light, without long exposures or the kinds of graininess associated with low-light photography.
While companies and researchers around the world work to build the most advanced and powerful AI systems, Facebook has a special treasure trove that most
While companies and researchers around the world work to build the most advanced and powerful AI systems, Facebook has a special treasure trove that most don’t: billions of tagged photos thanks to Instagram. Facebook has now used those photos to create a leading image recognition AI.
We previously wrote about the state of computational photography in September 2017. Included within that piece was a reference to the work by Kukas Murmann, Abe Davis, Jan Kautz and Frédo Durand who built a prototype flash mounted on a servo and connected
We previously wrote about the state of computational photography in September 2017. Included within that piece was a reference to the work by Kukas Murmann, Abe Davis, Jan Kautz and Frédo Durand who built a prototype flash mounted on a servo and connected to an electric eye. The mechanism provided an automated way to position a flash to provide indirect light. The resulting images were a dramatic step up from direct flash photography.
With each iteration of Photoshop, it is easier and easier to alter images, making it impossible to spot the alterations. Soon, with AI generated images taking over in many fields, it will be impossible to trust if an image is an actual photograph or a complete fabrication. Photography is in danger of losing its essential tie to reality and truth. Enters TruePic. With an array of patented technologies, the company offers a solid counterbalance to this seemingly unstoppable wave of reality-altering technologies. It certifies that a photograph is 100% original and has not been tampered with. We spoke with CEO Jeff McGregor to learn more:
