Dynamic texture modeling and synthesis using multi-kernel Gaussian process dynamic model
A multi-kernel based Gaussian process dynamic model is proposed for dynamic texture modeling. We design a two-step optimization algorithm to learn the multi-kernel based Gaussian process dynamic model. We design a dynamic texture synthesis algorithm based on mean prediction for the proposed multi-kernel based Gaussian process dynamic model.
dynamic texture synthesis gaussian process latent variable model multi-kernel learning