A novel filtering kernel based on difference of derivative Gaussians with applications to dynamic texture representation

Signal Processing Image Communication ◽

10.1016/j.image.2021.116394 ◽

2021 ◽

pp. 116394

Author(s):

Thanh Tuan Nguyen ◽

Thanh Phuong Nguyen ◽

Frédéric Bouchara

Keyword(s):

Dynamic Texture ◽

Texture Representation ◽

Filtering Kernel

Download Full-text

Dynamic texture representation using a deep multi-scale convolutional network

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2016.12.015 ◽

2017 ◽

Vol 43 ◽

pp. 89-97 ◽

Cited By ~ 13

Author(s):

Shervin Rahimzadeh Arashloo ◽

Mehdi Chehel Amirani ◽

Ardeshir Noroozi

Keyword(s):

Dynamic Texture ◽

Convolutional Network ◽

Texture Representation ◽

Multi Scale

Download Full-text

Dynamic Texture Representation Based on Hierarchical Local Patterns

Advanced Concepts for Intelligent Vision Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40605-9_24 ◽

2020 ◽

pp. 277-289

Author(s):

Thanh Tuan Nguyen ◽

Thanh Phuong Nguyen ◽

Frédéric Bouchara

Keyword(s):

Dynamic Texture ◽

Texture Representation ◽

Local Patterns

Download Full-text

Dynamic Texture Analysis Using Auto-correlation Function of Histogram Similarity Measure From Galois-Field Texture Representation of Water Flow Video

2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) ◽

10.1109/icramet51080.2020.9298601 ◽

2020 ◽

Author(s):

Bernadus H. Sirenden ◽

Petrus Mursanto ◽

Sensus Wijonarko

Keyword(s):

Correlation Function ◽

Texture Analysis ◽

Water Flow ◽

Similarity Measure ◽

Galois Field ◽

Dynamic Texture ◽

Texture Representation ◽

Auto Correlation ◽

Auto Correlation Function ◽

Histogram Similarity

Download Full-text

Content Based Dynamic Texture Analysis and Synthesis Based on SPIHT with GPU

Journal of Information Processing Systems ◽

10.3745/jips.02.0009 ◽

2014 ◽

Keyword(s):

Texture Analysis ◽

Dynamic Texture ◽

Analysis And Synthesis

Download Full-text

Combining dynamic texture and structural features for speaker identification

Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence - MiFor '10 ◽

10.1145/1877972.1877996 ◽

2010 ◽

Cited By ~ 8

Author(s):

Guoying Zhao ◽

Xiaohua Huang ◽

Yulia Gizatdinova ◽

Matti Pietikäinen

Keyword(s):

Speaker Identification ◽

Structural Features ◽

Dynamic Texture

Download Full-text

Sparse coding based lip texture representation for visual speaker identification

2014 19th International Conference on Digital Signal Processing ◽

10.1109/icdsp.2014.6900736 ◽

2014 ◽

Author(s):

Jun-Yao Lai ◽

Shi-Lin Wang ◽

Xing-Jian Shi ◽

Alan Wee-Chung Liew

Keyword(s):

Sparse Coding ◽

Speaker Identification ◽

Texture Representation

Download Full-text

Generalized texture representation and metric

Computer Vision Graphics and Image Processing ◽

10.1016/0734-189x(83)90112-3 ◽

1983 ◽

Vol 23 (2) ◽

pp. 187-206 ◽

Cited By ~ 42

Author(s):

Helen C. Shen ◽

Andrew K.C. Wong

Keyword(s):

Texture Representation

Download Full-text

Annotated dynamic texture graph

2010 International Conference on Future Information Technology and Management Engineering ◽

10.1109/fitme.2010.5654902 ◽

2010 ◽

Author(s):

Deng kai ◽

Gao Quanshen ◽

Jiang Yunsong

Keyword(s):

Dynamic Texture

Download Full-text

An Efficient Method of Dynamic Texture Tracking Based on Increment Evolution

2009 International Conference on Computational Intelligence and Software Engineering ◽

10.1109/cise.2009.5364503 ◽

2009 ◽

Cited By ~ 1

Author(s):

Hongyan Quan ◽

Changbo Wang

Keyword(s):

Efficient Method ◽

Dynamic Texture

Download Full-text

Analysis and performance evaluation of optical flow features for dynamic texture recognition

Signal Processing Image Communication ◽

10.1016/j.image.2007.05.013 ◽

2007 ◽

Vol 22 (7-8) ◽

pp. 680-691 ◽

Cited By ~ 20

Author(s):

Sándor Fazekas ◽

Dmitry Chetverikov

Keyword(s):

Performance Evaluation ◽

Optical Flow ◽

Dynamic Texture ◽

Texture Recognition ◽

Flow Features ◽

And Performance ◽

Optical Flow Features

Download Full-text