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.
This is the story of how we are building Grid, the Guardian’s new image management system, working very closely with our editorial colleagues and using a modern technology stack. Oh, and it’s all Open Source.
via the Guardian: https://www.theguardian.com/info/developer-blog/2015/aug/12/open-sourcing-grid-image-service
This is the story of how we are building Grid, the Guardian’s new image management system, working very closely with our editorial colleagues and using a modern technology stack. Oh, and it’s all Open Source.
Before you head out for your next vacation, you may want to consider what your photos on Flickr reveal about your travel plans. A new study published in
via PetaPixel: http://petapixel.com/2015/08/12/study-flickr-photos-can-predict-peoples-movements/
As photography goes beyond a daily or even hourly exchange, it stops becoming a distraction from life; rather, it is life. “People are showing their lives not to create a document but as a part of living. If we were dogs we’d be peeing on fire hydrants. but instead we’re posting to Instagram and Facebook,” Mayes says.
Web ads are dramatically different from prior ad media, though — rather than just being printed on paper or inserted into a broadcast, web ads are software. They run arbitrary code on your computer, which can (and usually does) collect and send data about you and your behavior back to the advertisers and publishers. And there’s so much consolidation amongst ad networks and analytics providers that they can easily track your behavior across multiple sites, building a creepily accurate and deep profile of your personal information and private business.
Whenever I try to take a photo through a plane or hotel window, chances are there are plenty of reflections that show up on the final image and ruin it. Now, however, Google and MIT researchers have found a way to take these photos and automatically remov
via TechCrunch: http://techcrunch.com/2015/08/04/that-some-csi-style-magic-photo-zoom-magic-shit-right-there/?ncid=rss
And here is where it gets spooky: because the algorithm has to detect the reflection in a window, for example, it can also create a clear picture of the reflection
The thing about print adverts was that they stayed where they were. Photo by Bethan on Flickr. TL:DR: when Apple’s iOS 9 comes out in September, there’s going to be a dramatic uptake of…
via The Overspill: when there’s more that I want to say: https://theoverspill.wordpress.com/2015/07/30/the-adblocking-revolution-is-months-away-with-ios-9-with-trouble-for-advertisers-publishers-and-google/
That’s where we’re at: websites are getting overloaded with ads, beacons, trackers and scripts that are all scrambling over each other in their attempt to squeeze the last bit of information about us from every page.
But nobody asked us, the readers, along the way whether that was OK. And now, people are deciding that it’s not OK.
What Camera Companies Do With Raw Files Is Against Photographer’s Best Interests It’s that time of year when newly announced cameras are hitting the stores. This means that they are also crossing my desk for review. It’s a fun time, with one exception. Ra
via Luminous Landscape: https://luminous-landscape.com/rantatorial/a-plea-for-dng-again/
The camera industry, with just a handful of exceptions, continues to insist on proprietary raw files. Every single new camera as it’s introduced produces a proprietary raw file which can not be read by any previous image processing software. This means that until Adobe, Phase One, DxO and others get around to writing support for the new file format for each and every new camera as it comes out, the user is forced to download, install and use the manufacturer’s proprietary raw processing software
Lytro’s research into the world of light field technology has produced two consumer devices. Their first camera was released in 2012 and introduced
via PetaPixel: http://petapixel.com/2015/07/15/interview-lytro-ceo-jason-rosenthal-on-the-future-of-light-field-technology/
Battling heavy critics of light field technology, Rosenthal talked to us about what his vision for the future is and why the technology will introduce an even bigger revolution than color photograph did when it was first introduced.
We took 5 visual content recognition engines for a test drive to compare their strengths. The results might amaze you
via Kaptur: http://kaptur.co/visual-content-recognition-a-test-drive/
We thought it would be wise to run a few of the deep learning automated tagging services through a series of tests, not only to compare their accuracy but to also gauge the overall limitations.