Want to rack up more views for your selfie? We can’t all take our photos with the president, but a new tool developed by an MIT PhD can help us predict how popular our photos will be.
A recent study led by Aditya Khosla, a PhD student at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL), extracted info from 2.3 million Flickr photos to develop an algorithm that can reliably predict a photo’s viewcount based on both social context and actual image content. (You can go to his research page to upload your own photo and see its relative popularity rating.)
Previous analyses had been able to predict popularity based on a user’s relative social influence, but Khosla’s algorithm is the first to be able to make meaning out of the complexities of actual image content – elements as specific as color, gradient, and the types of objects depicted.
Khosla uses computational techniques based on “deep learning,” an emerging field that has drawn the attention of Facebook and Google for teaching computers how to learn tasks and find patterns on their own.
Read more at: Phys.org