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 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.
As of today, all PhotoShelter Pro subscriptions include unlimited storage. Pro members, this means you are no longer restricted to 1TB; you now have the freedom to upload as many images as you like — at no extra cost! Have a Basic or Standard account with
As of today, all PhotoShelter Pro subscriptions include unlimited storage. Pro members, this means you are no longer restricted to 1TB; you now have the freedom to upload as many images as you like — at no extra cost!
A new study from L2 Insight on Instagram advertising reveals that the photo sharing app has slowly but effectively integrated Facebook user data in its offering
Using specific user case, the L2’s report sheds a deep inquisitive light on what appears to be a very well-crafted and effective strategy to take full advantage of Facebook’s data to deliver unique advertiser experience
On Tuesday, Instagram began tapping into the 70 million photos and videos posted daily to its service to put its 300 million users in the middle of current events, including Taylor Swift’s latest concert and the memorials to the victims of the Emanuel A.M.E. Church shootings.
The default behavior of hotword, a new, black-box module in Chrome (and its free/open cousin, Chromium) causes it to silently switch on your computer’s microphone and send whatever it hears t…
The default behavior of hotword, a new, black-box module in Chrome (and its free/open cousin, Chromium) causes it to silently switch on your computer’s microphone and send whatever it hears to Google.
Automated photo generating A.I. using all the knowledge acquired about photography, including which image types helps sell more products, which dominant colors appeal to viewers, which composition is the most effective would build a perfect photos according to your needs
Social networking sites like Twitter, Facebook, LinkedIn and Pinterest didn’t fare as well though they still beat out Google, which is aggressively courting photographers with its new Google Photos storage service.
The mobile photo sharing service, which has been mostly ad-free, is opening its feed to all advertisers and allowing them to target its users demographically.
It’s smart, it’s simple, it’s useful and it’s free. What more can you expect from a photo storage service? Google Photos certainly delivers on the mobile photo crowd’s major pain points with elegance.
free unlimited storage. With so many of the other features ( with variations) available via competitors, it was the only true unique play Google could make. And while a major draw for any mobile user, it is not the only attractive feature. Let’s review
As day 2 of the LDV Vision Summit started, it was clear that the topics were going to be different than the previous day. Here’s a brief overview of the last day
Day 2 opened the doors to more practical applications of visual tech, mostly around revenue. In other words, how companies are using the discoveries of researchers to extract value, information and monetary rewards. As in the previous day, panels were a flowing mix of individual presentations and group discussions. Here are some elements of day 2 which particularly caught our attention
Adobe wants to be the 800 pound gorilla of mobile photo editing. Today the company released the 2-minute sneak peek video above showing off some mobile
2-minute sneak peek video above showing off some mobile retouching features its currently developing. In the clip, Photoshop product manager Bryan O’Neil Hughes shows how effortlessly photographers will be able to edit 50.3 megapixel Canon 5DS photos in the app
The LDV Vision Summit just ended yesterday and with it, the conclusion of 2 full days of discussions about visual tech and its impact on our world. Here’s a brief overview of day 1
From immersive technology cameras to face recognition activated door bells, along with apps for ordering spare parts or others for creating animated photos, it was fascinating to see how widespread visual tech is inserted. A strong reminder on how our world is expanding its use of visual information.
Flickr has caused some unexpected controversy with the auto-tagging feature it launched earlier this month. The “advanced image recognition” system has
A flurry of unhappy users have taken to forums and social media to complain that the auto tagging feature was an entrenchment to their freedom to tag as well as painfully inaccurate.
While it might still be called disrupt, it’s probably just by habit than real meaning. As we walked the aisles of TechCrunch Disrupt NY, we didn’t see, at least in photo space, a start-up that would fit this epithet. Certainly some great ideas, lots of passion, and definite sense that the space still shows a lot of potential. Disruption? well, you be the judge.…
After months of teasing and beta testing, Apple has just officially launched Photos for OS X to the general public. This is the single app that replaces
As an ultimate goal, classifying images is too limited. Myself and many in the community see the grand goal being a system that can that fully understand visual input, in the way that humans are able to. Humans don’t look at a room and think “desk”, “chair”, “coffee mug”. Instead humans understand why things are in their particular places, how a person might interact with objects or the space. We recognize peoples’ actions and their intentions, and we predict what will happen next. For example, you understand from visual input and our interactions with the world what will happen if you tip the table your coffee mug is resting on or if you try to place your coffee mug on your keyboard. Not only do I believe that we can build systems that learn these things, I believe we will be able to build systems that do this processing on video in real-time and those systems will learn from large amounts of video, without human labeling
