Papers Dynamic Texture Recognition
“Dynamic Texture Recognition” 태그가 달린 논문 9편 · 필터 해제
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern
Spatial-temporal local binary pattern (STLBP) has been widely used in dynamic texture recognition. STLBP often encounters the high-dimension problem as its dimension increases exponentially, so that STLBP could only util…
Dictionary LearningDynamic Texture RecognitionDynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces
Distance-based dynamic texture recognition is an important research field in multimedia processing with applications ranging from retrieval to segmentation of video data. Based on the conjecture that the most distinctive…
ClassificationDynamic Texture RecognitionGeneral ClassificationRetrievalInvariant 3D Shape Recognition using Predictive Modular Neural Networks
In this paper PREMONN (PREdictive MOdular Neural Networks) model/architecture is generalized to functions of two variables and to non-Euclidean spaces. It is presented in the context of 3D invariant shape recognition and…
3D Shape RecognitionAction RecognitionDynamic Texture RecognitionGesture Recognition+2Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields
This work presents a first evaluation of using spatio-temporal receptive fields from a recently proposed time-causal spatio-temporal scale-space framework as primitives for video analysis. We propose a new family of vide…
DescriptiveDynamic Texture RecognitionObject RecognitionA Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
This paper presents a novel hierarchical spatiotemporal orientation representation for spacetime image analysis. It is designed to combine the benefits of the multilayer architecture of ConvNets and a more controlled app…
Dynamic Texture RecognitionManifold Regularized Slow Feature Analysis for Dynamic Texture Recognition
Dynamic textures exist in various forms, e.g., fire, smoke, and traffic jams, but recognizing dynamic texture is challenging due to the complex temporal variations. In this paper, we present a novel approach stemmed from…
Dynamic Texture RecognitionScene RecognitionDynamic Texture Recognition via Orthogonal Tensor Dictionary Learning
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 based approach to characterizing local DT p…
Dictionary LearningDynamic Texture RecognitionWater Detection through Spatio-Temporal Invariant Descriptors
In this work, we aim to segment and detect water in videos. Water detection is beneficial for appllications such as video search, outdoor surveillance, and systems such as unmanned ground vehicles and unmanned aerial veh…
Dynamic Texture RecognitionMaterial RecognitionGeometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds
In this paper, we consider the problem of fast and efficient indexing techniques for sequences evolving in non-Euclidean spaces. This problem has several applications in the areas of human activity analysis, where there …
Activity RecognitionDynamic Texture Recognition