If you regularly share snapshots of your life online, turning off geotagging isn't a very reliable way to keep your location private. Everything seen in the photo -- including faint reflections -- can be used to figure out where you were with scary accuracy.
Camera technology is always being used/tweaked in one way or another to yield surprising or novel results. In some cases, that means creating a camera that sees like a bug's eye. In others, one that perceives only motion, like a retina.
The most recent camera innovation we've stumble across falls a bit closer to the second of those. It's called Pixy, and it's a color-detecting camera that might some day soon be the eye with which your friendly neighborhood robot sees and interprets the world.
Once you've lived somewhere long enough, it's easy to fall into a photographic rut. We're not talking about a running low on creativity (read this if you're dealing with creative burnout), we're talking about running low on places to shoot.
Photographer Darren Johnson ran into this problem, and was frustrated at the amount of work he had to put in to track down new photography locations online. That's why he created ShotHotspot: a new website that intelligently uses sites like Flickr and Panoramio to find and rank photo hotspots in your area.
With the prevalence of smartphones and the massive photo community that is Instagram, it's no surprise that news outlets and journalists are more and more frequently turning to the service to source photos for major events. Unfortunately, Instagram's search functionality is almost non-existent. That's where the new open-source search tool QIS comes into play.
If you're a sucker for natural wonders of the world and are constantly in search of places to add to your photography bucket list, you might want to look at paying a visit to Kelimutu, a volcano in Indonesia. It's known for the three crater lakes found at its summit, which are close in proximity but very different in appearance.
The photograph above shows the location where the following Tweet was posted:
Love hiding in the back at work because I have a 35 year old creeper. #scared #help
It's one of the photos in a project titled Geolocation: tributes to the Data stream, by photographers Nate Larson and Marni Shindelman. Each image in the series shows the location were a particular geotagged Twitter Tweet was posted.
There are well over 100 million users on Instagram (assuming a quarter of them didn't just up and leave), and even though the typical Instagram photo stream consists of food and the family pet, there are certain places that show up more often than others. Times Square, The Eiffel Tower, Disneyland, the Bangkok Airport... wait... that last one seems out of place doesn't it?
As it turns out, no. Not only is Bangkok's Suvarnabhumi Airport the number one most Instagrammed location of 2012, but Bangkok's massive shopping mall, Siam Paragon, took second. Only then does the list become populated by the locations you might expect to see.
The saga of anti-virus pioneer John McAfee's run from the law is a strange one, but this much is clear: McAfee wishes geotagging wasn't a feature built into modern cameras. After a month of fleeing from Belizean law enforcement after a neighbor was found murdered, the software tycoon was finally taken into custody this week, largely due to a single photo loaded with GPS data.
If you've been following the news, you might have heard that a man John McAfee is on the run from police who want to question him about a murder. Not just any ol' John McAfee, but the John McAfee, the once-ultra-rich founder of anti-virus software company McAfee. Well, a photograph published to the web today may have revealed the exact location McAfee is was hiding.
What if there were an up-to-date live stream of photos from any location on Earth, allowing you to see whatever is happening "right now"? Well, there is: Worldcam is a simple web app that's designed to do just that. Simple provide it with two pieces of information: city and location. City is pretty straightforward, but location is the cool one; you can type things like businesses, buildings, parks, and more.
Cameras these days are smart enough to recognize the faces found inside photographs and label them with names. What if the same kind of recognition could be done for the locations of photographs? What if, instead of using satellite geodata, the camera could simply recognize where it is by the contents of the photographs?
That's what research being done at Carnegie Mellon University and INRIA/Ecole Normale Supérieure in Paris may one day lead to. A group of researchers have created a computer program that can identify the distinctive architectural elements of major cities by processing street-level photos.
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