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IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings

Research Article

Wyner-Ziv Video Coding for Highway Traffic Surveillance Using LDPC Codes

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  • @INPROCEEDINGS{10.1007/978-3-030-44751-9_54,
        author={Linlong Guo and Bowei Shan and Yong Fang},
        title={Wyner-Ziv Video Coding for Highway Traffic Surveillance Using LDPC Codes},
        proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings},
        proceedings_a={IOTAAS},
        year={2020},
        month={6},
        keywords={2DQSWBP algorithm LDPC code QBP algorithm Wyner-Ziv video coding},
        doi={10.1007/978-3-030-44751-9_54}
    }
    
  • Linlong Guo
    Bowei Shan
    Yong Fang
    Year: 2020
    Wyner-Ziv Video Coding for Highway Traffic Surveillance Using LDPC Codes
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-44751-9_54
Linlong Guo1,*, Bowei Shan1,*, Yong Fang1,*
  • 1: Chang’an University
*Contact email: 2018124070@chd.edu.cn, bwshan@chd.edu.cn, fy@chd.edu.cn

Abstract

This paper presents a 2D -ary Sliding-Window Belief Propagation (2DQSWBP) algorithm to decode Low-density Parity-check (LDPC) code which is utilized to compress highway traffic surveillance video under Wyner-Ziv video framework. This framework is beneficial for camera device with limited memory and computing ability. The differences of successive frames is modeled as Truncated Discrete Laplace (TDL) distribution. The experimental result shows the 2DQSWBP outperforms the -ary Belief Propagation (QBP) algorithm in both Bit-Error-Rate and computing time.

Keywords
2DQSWBP algorithm LDPC code QBP algorithm Wyner-Ziv video coding
Published
2020-06-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-44751-9_54
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