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

Linlong Guo; Bowei Shan; Yong Fang

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

Download

151 downloads

Cite: BibTeX Plain Text

@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

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

Abstract

About EAI

Community

Publish with EAI