Computer‐aided diagnosis (CAD) systems have become an important tool in the
assessment of breast tumors with magnetic resonance imaging (MRI). CAD systems can be …

Many researchers focus on the local feature-based description of the dynamic texture,
because of its stability and low dimensionality. Among the existing dynamic texture …

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 spatio-temporal descriptor for representation and recognition of time-varying textures is
proposed [binarized statistical image features on three orthogonal planes (BSIF-TOP)] in this …

Local binary descriptors, such as local binary pattern (LBP) and its various variants, have
been studied extensively in texture and dynamic texture analysis due to their outstanding …

This paper introduces a new large scale dynamic texture dataset. The dataset is provided
with two complementary organizations, one based on dynamics independent of spatial …

This paper presents a novel hierarchical spatiotemporal orientation representation for
spacetime image analysis. It is designed to combine the benefits of the multilayer …

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 …

This work addresses dynamic texture representation and recognition via a convolutional
multilayer architecture. The proposed method considers an image sequence as a …