From the ethereal work of Flora Borsi to the bold and bright art of Fredy Santiago, Photoshop is used to create much of the creative and outlandish visuals that surround …
The death of NPR photojournalist David Gilkey was a reminder of how dangerous photojournalism can be.
Preserving online media is a growing logistical and ethical question. But doing so may completely transform the way we remember the past.
Building an archive has always required asking a couple of simple but thorny questions: What will we save and how? Whose stories are the most important and why?
Apple just unveiled iOS 10 at its annual Worldwide Developers Conference in San Francisco today. Among the new features is a smarter Photos app for
via PetaPixel: http://petapixel.com/2016/06/13/photos-ios-10-can-identify-faces-objects-shots/
Together with a new Map view, Apple will help group photos by people, places, and more, all without any extra input from you.
Each edition of the LDV Vision Summit reveals something more about the visual tech. This year was no exception …..
via Kaptur: http://kaptur.co/ldv-vision-summit-a-recap/
The 2016 edition, which just closed a few days ago, did not disappoint. In a field where breakthroughs are seemingly far between, there is still room for anyone to discover research, studies, applications or companies that reveal yet another side of the huge impact visual tech is having on our world.
In the near future, every inanimate object we interact with may not only have the ability to see but could also improve our lives…
via Kaptur: http://kaptur.co/its-coming-the-internet-of-eyes-will-allow-objects-to-see/
I call this all-seeing market opportunity the Internet of Eyes (IoEyes), and it will empower and connect various inanimate objects – from clothing to mirrors, refrigerators to buildings… maybe even the paint on your walls will have the ability to see.
FindFace compares photos to profile pictures on social network Vkontakte and works out identities with 70% reliability
via the Guardian: https://www.theguardian.com/technology/2016/may/17/findface-face-recognition-app-end-public-anonymity-vkontakte
FindFace compares photos to profile pictures on social network Vkontakte and works out identities with 70% reliability
Russian photographer and art student Egor Tsvetkov used his own photos and a facial recognition app to destroy any illusion of privacy we might have with
via PetaPixel: http://petapixel.com/2016/04/13/photog-matches-photos-taken-subway/
He put his photos into an app called FindFace to see if it could identify the people he had taken pictures of on Russia’s main social media site VKontakte. Long story short: the app did VERY well
Photographers have reacted harshly to Instagram’s decision to uproot chronological posting in favor of an algorithmically sorted feed. This sucks @instagram Company Will Change the Way You See Posts @pdnonline #Instagram #SocialMediaMarketing https://t.co
via PDNPulse: http://pdnpulse.pdnonline.com/2016/03/instagram-changes.html
Photographers have reacted harshly to Instagram’s decision to uproot chronological posting in favor of an algorithmically sorted feed.
With engagement rates falling, Instagram might be near a tipping point. Can it continue to feed its advertising engine without losing its user base ?
via Kaptur: http://kaptur.co/instagram-dying-slow-death/
However, Instagram series of effort have been almost entirely aimed at pleasing advertisers, with the troubling effect of alienating its user base
Instagram is making a move to be more like its owner, Facebook. In a blog post today, the popular social network said it would begin algorithmically sorting posts to surface what it thinks you want to see, irrespective of when that content is posted. Acco
via PDNPulse: http://pdnpulse.pdnonline.com/2016/03/instagram-knows-best-company-will-change-the-way-you-see-posts.html
the “order of photos and videos in your feed will be based on the likelihood you’ll be interested in the content, your relationship with the person posting and the timeliness of the post. As we begin, we’re focusing on optimizing the order — all the posts will still be there, just in a different order
“Future’s made of virtual insanity now Always seem to be govern’d by this love we have For useless, twisting, our new technology Oh, now there is no sound – for we all live underground” – Virtual Insanity, Jamiroquai I spent the better part of last week b
via PhotoShelter Blog: http://blog.photoshelter.com/2016/03/im-gonna-pass-on-that-vr-thing/
I have been an early adopter of technology for most of my life. As a Star Wars/Star Trek kid, I’ve held the dogma that technology will be society’s savior. But I’m having second thoughts. And when it comes to VR, I have a few specific issues with its promise of immersive entertainment:
Making sense of the trillions of user-generated content is an emerging science full of great potential. Here are some of its first steps…
via Kaptur: http://kaptur.co/visualizing-user-generated-content-to-better-understand-humanity/
When I saw it in 2005, exactly 10 years ago, I had this “aha” moment and I imagined: What if I could take all digitized Renaissance paintings from, let’s say, 1500 to 1600 in Italy, and put them on this wall, and use computer vision to sort them by color, content, composition, and actually have a better understanding of what the Renaissance was? This was even before social media exploded.
The media critic on the malfunctioning tech economy, digital detoxes and why Facebook is unhygienic
via the Guardian: http://www.theguardian.com/technology/2016/feb/12/digital-capitalism-douglas-rushkoff
Professionally, I’m thinking it may be good for one’s career and business to be off social media altogether. Chris Anderson was wrong. “Free” doesn’t lead to anything but more free. Working for free isn’t leverage to do a talk for loads of money; now they even want you to talk for free. What am I supposed to do? Join YouTube and get three cents for every 100,000 views of my video? That is crap; that is insane!
First in a series of LDV Vision Summit panels : Computational photography and video
via Kaptur: http://kaptur.co/ldv-vision-summit-computational-photography-and-video/
As a refresher for those who did make it and a discovery for those who couldn’t, we will be publishing a series of transcripts from last year’s LDV Vision Summit. First on our list is this conversation around computational photography and video from some of the top experts in the field
the camera as we know it is changing. A revolution in digital imaging research could surpass the camera obscura in almost every technical way: resolution, size and energy efficiency. It’s called computational photography
Will Google Cloud Vision disrupt the photo app landscape or is it too late ?
via Kaptur: http://kaptur.co/what-googles-new-open-source-tensorflow-and-cloud-vision-api-mean-for-photo-app-developers/
So what exactly are these technologies? How will they impact existing image recognition API developers? And how useful could they be for photo app developers who don’t have the resources to develop image recognition technology themselves?
Adobe has already apologized for fumbling its latest Lightroom update, which was riddled with bugs and missing features. Now there’s a new story that’s
via PetaPixel: http://petapixel.com/2015/10/13/lightroom-import-is-600-slower-than-competition/
Over the weekend, reclusive North Korea held a massive military parade and numerous other mass performances to commemorate the 70th anniversary of its ruling Workers’ Party, inviting foreign media to cover the event in Pyongyang. North Korean leader Kim Jong Un, who oversaw the proceedings alongside high-ranking party members, made a statement that his country was ready to fight any war waged by the United States.
The team will continue to work hard to earn your trust back in subsequent releases and I look forward to reigniting the type of dialog we started in 2006.
EyeEm’s new software can automatically tag photos. It can also tell you if your photograph is esthetically pleasing. Is this the future?
via PDNPulse: http://pdnpulse.pdnonline.com/2015/09/eyeem-eyevision-software.html
Can we trust algorithms to pass judgement on what constitutes a “beautiful” image or is that criteria so subjective that it doesn’t really matter who (or what) is judging?
The problem in the case of scaling the image to a larger size is when there are too many ‘new’ values to be filled in the image. These algorithms try to make “guesses” of what the new values should be but this introduces errors in the process which leads to noise, haloing, and artifacts.