Dynamic, or temporal, texture is a spatially repetitive, time-varying visual pattern that forms
an image sequence with certain temporal stationarity. In dynamic texture (DT), the notion of …

Abstract Current Dynamic Texture Synthesis (DyTS) models can synthesize realistic videos.
However, they require a slow iterative optimization process to synthesize a single fixed-size …

In this paper, we developed a novel tool called dynamic fractal analysis for dynamic texture
(DT) classification, which not only provides a rich description of DT but also has strong …

Representing dynamic textures (DTs) plays an important role in many real implementations
in the computer vision community. Due to the turbulent and non-directional motions of DTs …

Dynamic textures (DTs) are video sequences with stationary properties, which exhibit
repetitive patterns over space and time. This paper aims at investigating the sparse coding …

A novel video representation, the layered dynamic texture (LDT), is proposed. The LDT is a
generative model, which represents a video as a collection of stochastic layers of different …

This paper addresses the problem of modeling textures with Gaussian processes, focusing
on color stationary textures that can be either static or dynamic. We detail two classes of …

The large-scale images and videos are one kind of the main source of big data. Dynamic
texture (DT) is essential for understanding the video sequences with spatio-temporal …

Most existing dictionary learning algorithms consider a linear sparse model, which often
cannot effectively characterize the nonlinear properties present in many types of visual data …

Motion estimation is usually based on the brightness constancy assumption. This
assumption holds well for rigid objects with a Lambertian surface, but it is less appropriate …