In the aftermath of the tragic Boston Marathon bombing on Monday, investigators are turning to crowdsourced photographs and videos in order to hunt down the perpetrator(s). Authorities are calling for anyone at the marathon that day to send in photographs or videos captured in the area.
A couple of months ago, we spent some time telling you about CrowdOptic, a company that has been pioneering a way to sift through the millions of photos taken every second of every day and separate the "noise" from the "signal" when it comes to finding newsworthy content.
The company's technology takes advantage of the fact that smartphone photographs today come with both GPS and heading data attached, allowing algorithms to determine not only where a photo was taken, but also what it was taken of. And in the video above, former football player Jim Kovach explains the tech in detail at TEDxSiliconAlley in New York City.
We live in a world that's teeming with digital photographs. More photos are now uploaded every two minutes than were created during the entire 1800s. Facebook is seeing thousands of photographs uploaded to its servers every second of the day, and Instagram was flooded with 10 storm-related photos per second during Hurricane Sandy.
With such a large quantity of photographs flooding the web, it's clear that visual data mining will be an in-demand market in the coming years as more and more people look to glean valuable images from the torrent of useless pixels. One of the companies trying to occupy this space is CrowdOptic, a San Francisco-based startup that's building some pretty interesting location-based photo curation technologies.