computervision

EyeEm Let an AI Pick Their Top Photos of 2016, It Chose These

What's your computer's favorite photo? It seems like a ridiculous question, but EyeEm recently asked their AI something similar. Since no single human could possibly go through the millions of images uploaded to their service last year, EyeEm let their special EyeEm Vision AI pick the Top Photos of 2016.

Adobe is Working on Automatic Distraction Removal Technology

Adobe's Content Aware Fill makes it easy to remove distracting elements in photos using Photoshop, but soon you may not have to. Computer vision scientists at Adobe and Princeton are working on a new technology called "distraction prediction" that can automatically find and remove distracting elements from photos.

A Script for Easily Finding Lightning Strike Stills Inside HD Video

Photographer Saulius Lukse recently decided to try his hand at shooting video to capture photos of a lightning strike rather than using a special trigger for still photos. The technique worked well, and is rather efficient thanks to a special script Lukse wrote to quickly find frames containing lightning.

New Algorithm Can Automatically Remove Window Reflections from Photos

Photographers often use products such as the Lens Skirt when shooting through windows in order to reduce or remove reflections. Thanks to advances in computer algorithms, those physical tricks may soon find themselves alongside suitable software solutions.

Scientists at MIT have created an algorithm that can automatically remove reflections from photos that were taken through windows.

How Humans Are Teaching Computers To See and Understand Photos

Three year old children can make sense of what they see in photos and describe them to us, but even the most advanced computers have historically had difficulties with that same task. That's quickly changing though, as computer scientists are developing powerful new ways to have computers identify what a photograph is showing.

The video above is a new TED talk given by Fei-Fei Li, a Stanford professor who's one of the world's leading experts on computer vision. She talks about her revolutionary ImageNet project that has changed how computers "see."

Google+ Now Using ‘Computer Vision’ to Identify and Index Photos by Content

Google I/O brought with it a lot of exciting updates for Google+, not the least of which were a slew of automatic improvements to Google+ Photos including Auto Highlight, Auto Enhance and Auto Awesome. But the updates didn't stop when I/O ended last Friday.

Today, Google's Search blog announced that the company has started implementing some impressive technology that will allow you to search for your photos based on what they contain visually, even if there's not a tag in sight.