Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9414783 ◽

2021 ◽

Author(s):

Alexander Sagel ◽

Julian Wormann ◽

Hao Shen

Keyword(s):

Dynamic Texture ◽

Texture Recognition

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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 ◽

Author(s):

Sándor Fazekas ◽

Dmitry Chetverikov

Keyword(s):

Performance Evaluation ◽

Optical Flow ◽

Dynamic Texture ◽

Texture Recognition ◽

Flow Features ◽

And Performance ◽

Optical Flow Features

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Dynamic Texture Recognition Using Normal Flow and Texture Regularity

Pattern Recognition and Image Analysis - Lecture Notes in Computer Science ◽

10.1007/11492542_28 ◽

2005 ◽

pp. 223-230 ◽

Author(s):

Renaud Péteri ◽

Dmitry Chetverikov

Keyword(s):

Normal Flow ◽

Dynamic Texture ◽

Texture Recognition

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Dynamic texture recognition based on completed volume local binary pattern

Multidimensional Systems and Signal Processing ◽

10.1007/s11045-015-0319-6 ◽

2015 ◽

Vol 27 (2) ◽

pp. 563-575 ◽

Author(s):

Deepshikha Tiwari ◽

Vipin Tyagi

Keyword(s):

Local Binary Pattern ◽

Dynamic Texture ◽

Texture Recognition

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An auto tuned noise resistant descriptor for dynamic texture recognition

Multimedia Tools and Applications ◽

10.1007/s11042-016-4066-y ◽

2016 ◽

Vol 76 (20) ◽

pp. 21225-21246

Author(s):

Deepshikha Tiwari ◽

Vipin Tyagi

Keyword(s):

Dynamic Texture ◽

Texture Recognition

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Dynamic Texture Recognition Using Time-Causal Spatio-Temporal Scale-Space Filters

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-319-58771-4_2 ◽

2017 ◽

pp. 16-28 ◽

Author(s):

Ylva Jansson ◽

Tony Lindeberg

Keyword(s):

Scale Space ◽

Temporal Scale ◽

Dynamic Texture ◽

Texture Recognition ◽

Spatio Temporal

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Dynamic Texture Recognition Based on Compression Artifacts

Towards Advanced Data Analysis by Combining Soft Computing and Statistics - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-642-30278-7_20 ◽

2013 ◽

pp. 253-266 ◽

Author(s):

Dubravko Ćulibrk ◽

Matei Mancas ◽

Vladimir Ćrnojevic

Keyword(s):

Dynamic Texture ◽

Texture Recognition ◽

Compression Artifacts

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A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition

Pattern Recognition and Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02172-5_41 ◽

2009 ◽

pp. 314-321 ◽

Author(s):

Sloven Dubois ◽

Renaud Péteri ◽

Michel Ménard

Keyword(s):

Decomposition Methods ◽

Dynamic Texture ◽

Texture Recognition ◽

Temporal Decomposition ◽

Spatio Temporal

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Dynamic texture recognition with video set based collaborative representation

Image and Vision Computing ◽

10.1016/j.imavis.2016.03.006 ◽

2016 ◽

Vol 55 ◽

pp. 86-92 ◽

Author(s):

Jin Xie ◽

Yi Fang

Keyword(s):

Collaborative Representation ◽

Dynamic Texture ◽

Texture Recognition

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Dynamic Texture Recognition from Multi-offset Temporal Intensity Co-occurrence Matrices with Local Pattern Matching

Advances in Intelligent Systems and Computing - Computational Intelligence: Theories, Applications and Future Directions - Volume II ◽

10.1007/978-981-13-1135-2_41 ◽

2018 ◽

pp. 545-555 ◽

Author(s):

Seba Susan ◽

Minni Mittal ◽

Srishti Bansal ◽

Prachi Agrawal

Keyword(s):

Pattern Matching ◽

Dynamic Texture ◽

Texture Recognition ◽

Local Pattern ◽

Temporal Intensity

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Dynamic texture recognition by aggregating spatial and temporal features via ensemble SVMs

Neurocomputing ◽

10.1016/j.neucom.2015.09.004 ◽

2016 ◽

Vol 173 ◽

pp. 1310-1321 ◽

Author(s):

Feng Yang ◽

Gui-Song Xia ◽

Gang Liu ◽

Liangpei Zhang ◽

Xin Huang

Keyword(s):

Dynamic Texture ◽

Texture Recognition ◽

Temporal Features

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