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International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing

IMIS 2019: Innovative Mobile and Internet Services in Ubiquitous Computing pp 675–681Cite as

Side Information Generation Algorithm Based on Weighted KSVD Dictionary

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 994))

Abstract

The side information plays an important role in video reconstruction for distributed compressed video sensing. In this paper, we propose a novel weighted KSVD dictionary learning based side information extraction method. First, the similarity between the non-key frame and its neighboring key frames is calculated in the measurement domain. According to the calculated similarities, different weighted factors are allocated to the motion estimation module to generate the side information. Then the dictionary is generated by the side information and KSVD algorithm. The simulation results show that the proposed algorithm outperforms the existed non-weighted side information algorithm in terms of peak-signal-to-noise ratio (PSNR) by 0.2–0.5 dB and visual perception.

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Author information

Authors and Affiliations

  1. Yunnan Open University, Kunming City, 650223, Yunnan Province, China

    Zhao Jingmei

  2. Nanjing Institute of Technology, Nanjing, 211167, Jiangsu Province, China

    Chen Rui

Authors
  1. Zhao Jingmei
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  2. Chen Rui
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Corresponding author

Correspondence to Chen Rui .

Editor information

Editors and Affiliations

  1. Faculty of Information Engineering, Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. School of Business, University of New South Wales, Canberra, ACT, Australia

    Omar K. Hussain

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Jingmei, Z., Rui, C. (2020). Side Information Generation Algorithm Based on Weighted KSVD Dictionary. In: Barolli, L., Xhafa, F., Hussain, O. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2019. Advances in Intelligent Systems and Computing, vol 994. Springer, Cham. https://doi.org/10.1007/978-3-030-22263-5_64

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