Chinmay Bidkar
Photo- Shutterstock
24 May 2016, USA :
Shutterstock, a leading global provider of imagery and music, today released its search and discovery features which were first introduced for desktop use in March for mobile use.
The Company Is the First Stock Photo Provider to Apply Computer Vision Search-and-Discovery Technology to Mobile.
Since it launched its first mobile app five years ago, Shutterstock has invested in creating easy-to-use mobile technology. Bringing machine-learning to mobile is the next step toward a more mobile-centric future for images. As users upload photos captured by phones to search Shutterstock’s collection, the neural network on Shutterstock’s back end studies and learns what types of images are most popular for mobile usage rather than desktop usage; with time, it will grow to understand authentic photography taken in more natural settings.
Shutterstock CEO and founder Jon Oringer said, “When we unveiled Reverse Image Search this past spring, we knew that it was a perfect fit for our mobile application it’s arguably one of the best use cases for computer vision technology in general.”
Computer vision is the ability for a computer to break an image down into its primary characteristics, both visually and conceptually that can be represented numerically. The technology relies on pixel data within images rather than metadata collected through keywords and tagging – to help identify and surface relevant content.