Shutterstock, Inc. (NYSE: SSTK) has released its search and discovery features for mobile use, the company said.
Reverse Image Search for mobile invites users to capture the world around them on their mobile phones, and then to upload them via the Shutterstock app to search Shutterstock´s collection of over 80 million images for similar content and style.
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. Data collected will showcase emerging trends and best techniques on mobile devices.
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.
Shutterstock provides high-quality licensed photographs, vectors, illustrations, videos and music to businesses, marketing agencies and media organizations around the world. Working with its growing community of over 100,000 contributors, Shutterstock adds hundreds of thousands of images each week, and currently has more than 80 million images and four million video clips available.
Headquartered in New York City, with offices in Amsterdam, Berlin, Chicago, Denver, London, Los Angeles, Montreal, Paris and San Francisco, Shutterstock has customers in more than 150 countries.
