  Here we present a parametric model for dynamic textures. The model is based
on spatiotemporal summary statistics computed from the feature representations
of a Convolutional Neural Network (CNN) trained on object recognition. We
demonstrate how the model can be used to synthesise new samples of dynamic
textures and to predict motion in simple movies.
