Algorithm Predicts What Happens Next in a Photo and Makes It Into a Video

Imagine if your favorite picture could automatically be converted into a short video and labeled. Sound like a fantasy? Maybe not for much longer. Using a deep learning algorithm, MIT’s Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba recently generated one second of predictive video based on a single still frame. Called Scene Dynamics, the software has been taught with roughly two million unlabeled videos. After being fed a new image, the system runs two competing neural networks. The first generates the predictive video while the second discerns if the videos are real or fake. Beyond predicting an impressive number of frames based on assumed motion, the algorithm also classifies the specific action occurring. While clearly not perfect, the results are impressive already. It’s notable the software learned from unlabeled…


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