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Link to original content: https://doi.org/10.1007/978-3-030-61864-3_34
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Preserving Temporal Consistency in Videos Through Adaptive SLIC

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Advances in Computer Graphics (CGI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12221))

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Abstract

The application of image processing techniques to individual frames of video often results in temporal inconsistency. Conventional approaches used for preserving the temporal consistency in videos have shortcomings as they are used for only particular jobs. Our work presents a multipurpose video temporal consistency preservation method that utilizes an adaptive simple linear iterative clustering (SLIC) algorithm. First, we locate the inter-frame correspondent pixels through the SIFT Flow and use them to find the respective regions. Then, we apply a multiframe matching statistical method to get the spatially or temporally correspondent frames. Besides, we devise a least-squares energy-based flickering-removing objective function by taking into account the inter-frame temporal consistency and inter-region spatial consistency jointly. The obtained results demonstrate the potential of the proposed method.

H. Zhang and R. Ali—Contributed equally to this work.

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Acknowledgement

This work was supported in part by the National Key Research and Development Program of China under Grant 2018YFF0300903, in part by the National Natural Science Foundation of China under Grant 61872241 and Grant 61572316, and in part by the Science and Technology Commission of Shanghai Municipality under Grant 15490503200, Grant 18410750700, Grant 17411952600, and Grant 16DZ0501100.

Author information

Authors and Affiliations

  1. Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China

    Han Zhang

  2. Shanghai Jiao Tong University, Shanghai, People’s Republic of China

    Riaz Ali & Bin Sheng

  3. The Hong Kong Polytechnic University, Hong Kong, People’s Republic of China

    Ping Li

  4. The University of Sydney, Sydney, Australia

    Jinman Kim

  5. Shanghai University of Sport, Shanghai, People’s Republic of China

    Jihong Wang

Authors
  1. Han Zhang
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  2. Riaz Ali
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  3. Bin Sheng
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  4. Ping Li
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  5. Jinman Kim
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  6. Jihong Wang
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Corresponding authors

Correspondence to Bin Sheng or Jihong Wang .

Editor information

Editors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Nadia Magnenat-Thalmann

  2. University of Crete, Heraklion, Greece

    Constantine Stephanidis

  3. University of Macau, Macau, China

    Enhua Wu

  4. Swiss Federal Institute of Technology, Lausanne, Switzerland

    Daniel Thalmann

  5. Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  6. University of Sydney, Sydney, Australia

    Jinman Kim

  7. University of Crete, Heraklion, Greece

    George Papagiannakis

  8. University of Calgary, Calgary, AB, Canada

    Marina Gavrilova

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Zhang, H., Ali, R., Sheng, B., Li, P., Kim, J., Wang, J. (2020). Preserving Temporal Consistency in Videos Through Adaptive SLIC. In: Magnenat-Thalmann, N., et al. Advances in Computer Graphics. CGI 2020. Lecture Notes in Computer Science(), vol 12221. Springer, Cham. https://doi.org/10.1007/978-3-030-61864-3_34

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  • DOI: https://doi.org/10.1007/978-3-030-61864-3_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61863-6

  • Online ISBN: 978-3-030-61864-3

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