Machine Vision Used to Wrangle Image Explosion

We live in a world besotted with images: selfies, Instagram photos, video clips running on social media platforms that make it easy to instantly post images captured by smartphones and other devices. The explosion of images is making keyword searches less effective, prompting companies that sell photos and music to come up with new approaches to sorting through the haystack for the relevant image. With that in mind, image and music licensor Shutterstock Inc. (NYSE: SSTK) has launched new search features based on machine learning techniques and, specifically, its proprietary “convolutional” neural network technology. Convolutional neural networks are a machine-learning construct usually comprised of multiple layers that is often followed by more fully connected layers as in a standard multilayer neural network. Convolution nets are made up of neurons with…

Link to Full Article: Machine Vision Used to Wrangle Image Explosion

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