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Jules Spinatsch: Semiautomaticphotography – AMERICAN SUBURB X

“Economically speaking, the transactions and values associated with perhaps what we may call “surrogate images” will inform society without society’s intervention into the process”.

Introducing the FileFlow App: Search, Download and Share Photos Instantly – PhotoShelter Blog

Introducing FileFlow, a new PhotoShelter app for iPhone that lets you and your clients search, download and share photos instantly.

Adobe’s new AI tool automatically spots Photoshopped faces – The Verge

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.

Photo Wake-up AI turns still photos of humans into living beings

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.

Appropriately, they call it Photo Wake-Up.

Alternatives to Adobe Lightroom 2019 – PhotoShelter Blog

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.

Making Sense of Instagram’s Algorithm in 2019

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.

Unraveling The JPEG

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!

Seeing AI iPad version, as accessibility app gets major update – 9to5Mac

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.

The Future of AI Imaging – Artsy

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.

Pro Photographers Should Pay Attention to the Google Pixel 3 – PhotoShelter Blog

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.

NY Times Using Google AI to Digitize 5M+ Photos and Find ‘Untold Stories’

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.

How the BBC verified that video of a grisly murder in Cameroon, step-by-step | Poynter

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.

New study analyzes what’s driving the explosion in user-generated videos and hybrid photo-videos – Kaptur

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.

AVA: The Art and Science of Image Discovery at Netflix

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.

Technical Camera: An iOS Camera App with a Simple UI and Serious Features

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.

What you missed at the 2018 LDV Vision Summit – Kaptur

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.

See in the Dark: a machine learning technique for producing astoundingly sharp photos in very low light / Boing Boing

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.

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