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Volumes of Blurred-Invariant Gaussians for Dynamic Texture Classification

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Book cover Computer Analysis of Images and Patterns (CAIP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11678))

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Abstract

An effective model, which jointly captures shape and motion cues, for dynamic texture (DT) description is introduced by taking into account advantages of volumes of blurred-invariant features in three main following stages. First, a 3-dimensional Gaussian kernel is used to form smoothed sequences that allow to deal with well-known limitations of local encoding such as near uniform regions and sensitivity to noise. Second, a receptive volume of the Difference of Gaussians (DoG) is figured out to mitigate the negative impacts of environmental and illumination changes which are major challenges in DT understanding. Finally, a local encoding operator is addressed to construct a discriminative descriptor of enhancing patterns extracted from the filtered volumes. Evaluations on benchmark datasets (i.e., UCLA, DynTex, and DynTex++) for issue of DT classification have positively validated our crucial contributions.

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Notes

  1. 1.

    https://www.csie.ntu.edu.tw/~cjlin/liblinear.

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Authors and Affiliations

  1. Université de Toulon, Aix Marseille Université, CNRS, LIS, Marseille, France

    Thanh Tuan Nguyen, Thanh Phuong Nguyen & Frédéric Bouchara

  2. Faculty of IT, HCMC University of Technology and Education, Ho Chi Minh City, Vietnam

    Thanh Tuan Nguyen

  3. ETIS UMR 8051, Université de Paris Seine, UCP, ENSEA, CNRS, Cergy, France

    Ngoc-Son Vu

Authors
  1. Thanh Tuan Nguyen
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  2. Thanh Phuong Nguyen
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  3. Frédéric Bouchara
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  4. Ngoc-Son Vu
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Corresponding author

Correspondence to Thanh Tuan Nguyen .

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Editors and Affiliations

  1. Department of Computer and Electrical Engineering and Applied Mathematics, University of Salerno, Fisciano (SA), Italy

    Mario Vento

  2. Department of Computer and Electrical Engineering and Applied Mathematics, University of Salerno, Fisciano (SA), Italy

    Gennaro Percannella

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Nguyen, T.T., Nguyen, T.P., Bouchara, F., Vu, NS. (2019). Volumes of Blurred-Invariant Gaussians for Dynamic Texture Classification. In: Vento, M., Percannella, G. (eds) Computer Analysis of Images and Patterns. CAIP 2019. Lecture Notes in Computer Science(), vol 11678. Springer, Cham. https://doi.org/10.1007/978-3-030-29888-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-29888-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29887-6

  • Online ISBN: 978-3-030-29888-3

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