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Video Quality Assessment by Decoupling Distortions on Primary Visual Information

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Wireless Internet (WICON 2016)

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Abstract

Video quality assessment (VQA) aims to evaluate the video quality consistently with the human perception. In most of existing VQA metrics, additive noises and losses of primary visual information (PVI) are decoupled and evaluated separately for quality assessment. However, PVI losses always include different types of distortions such that PVI distortions are not evaluated well enough. In this paper, a novel full-reference video quality metric is developed by decoupling PVI distortions into two classes: compression distortions and transmission distortions. First, video denoising method is adopted to decompose an input video into two portions, the portion of additive noises and the PVI portion. Then, maximal distortion regions searching (MDRS) algorithm is designed to decompose PVI losses into transmission distortions and compression distortions. Finally, the three distortions are evaluated separately and combined to compute the overall quality score. Experimental results on LIVE database show the effectiveness of the proposed VQA metric.

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Author information

Authors and Affiliations

  1. State Grid Xinjiang Electric Power Science Research Institute, Nanjing, 210003, China

    Yang Li, Xu Wang, Feng Li & Qingrui Guo

  2. NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, 210003, China

    Qiang Fan, Qiwei Peng, Wang Luo, Min Feng, Yuan Xia & Shaowei Liu

Authors
  1. Yang Li
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  2. Xu Wang
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  3. Feng Li
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  4. Qingrui Guo
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  5. Qiang Fan
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  6. Qiwei Peng
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  7. Wang Luo
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  8. Min Feng
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  9. Yuan Xia
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  10. Shaowei Liu
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Corresponding author

Correspondence to Wang Luo .

Editor information

Editors and Affiliations

  1. Hainan University, Hainan, China

    Mengxing Huang

  2. Simula Research Laboratory, Fornebu, Norway

    Yan Zhang

  3. Northeast Forestry University, Harbin, Heilongjiang, China

    Weipeng Jing

  4. Guangdong University of Petrochemical Technology, Maoming Shi, China

    Amjad Mehmood

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, Y. et al. (2018). Video Quality Assessment by Decoupling Distortions on Primary Visual Information. In: Huang, M., Zhang, Y., Jing, W., Mehmood, A. (eds) Wireless Internet. WICON 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-319-72998-5_32

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  • DOI: https://doi.org/10.1007/978-3-319-72998-5_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72997-8

  • Online ISBN: 978-3-319-72998-5

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