Skip to main content
SpringerLink
Log in

Joint Source-Channel Coding Scheme Based on UEP-Raptor

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 654))

  • 79 Accesses

Abstract

Raptor code is a solution used for forward error correction at the application layer during multimedia transmission. The amount of multimedia transmission data is huge. In order to transmit high-quality image and video under a fixed bandwidth, data must be compressed before transmission, and compression techniques such as jpg picture compression, MPEG-based video compression, and perceptual compression ROI coding are used. In this way, the compressed data has different reliability levels during transmission. This paper proposes a fountain code with unequal error protection, combined with image compression to construct a joint source-channel coding scheme based on UEP-Raptor code. Finally, the experiment proves that the adoption of this scheme has effectively improved the data transmission quality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Reference

  1. Fadhel H, Cao L (2015) On unequal error protection raptor codes. In: 2015 IEEE global conference on signal and information processing (GlobalSIP), Orlando, FL, 2015, pp 295–299.s doi: https://doi.org/10.1109/GlobalSIP.2015.7418204

  2. Shokrollahi A (2004) Raptor codes. In: Proceedings of International symposium on information theory. ISIT 2004 Jun 27, p 36. IEEE. doi: https://doi.org/10.1109/ISIT.2004.1365073

  3. Cataldi P, Shatarski MP, Grangetto M, Magli E (2006) Implementation and performance evaluation of LT and Raptor codes for multimedia applications. In: 2006 international conference on intelligent information hiding and multimedia, pp 263–266. IEEE. doi: https://doi.org/10.1109/IIH-MSP.2006.264994

  4. Luo Z, Song L, Zheng S, Ling N. Raptor codes based unequal protection for compressed video according to packet priority. IEEE Trans. Multimedia 15(8):2208–2213. doi: https://doi.org/10.1109/TMM.2013.2280561

  5. Shi D, Yang Z. Intermediate symbols expanding window raptor codes for unequal error protection. In: 2015 8th international congress on image and signal processing (CISP). IEEE, pp 1343–1347. doi: https://doi.org/10.1109/CISP.2015.7408091

  6. Lentisco CM, Bellido L, de la Fuente A, Pastor E, Leal RP, Armada AG (2014) A model to evaluate MBSFN and AL-FEC techniques in a multicast video streaming service. In: 2014 IEEE 10th international conference on wireless and mobile computing, networking and communications (WiMob). IEEE, pp 691–696. doi: https://doi.org/10.1109/WiMOB.2014.6962246

Download references

Author information

Authors and Affiliations

  1. Communication Research Center, Harbin Institute of Technology, Harbin, China

    Chang Liu, Wenchao Yang, Dezhi Li, Zhenyong Wang, Zhenbang Wang & Haibo Lv

Authors
  1. Chang Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wenchao Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dezhi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhenyong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhenbang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Haibo Lv
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dezhi Li .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. Tianjin Normal University, Tianjin, China

    Wei Wang

  3. Dalian University of Technology, Dalian, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  5. Huazhong Agricultural University, Wuhan, China

    Xiaoxia Li

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, C., Yang, W., Li, D., Wang, Z., Wang, Z., Lv, H. (2021). Joint Source-Channel Coding Scheme Based on UEP-Raptor. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_153

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-8411-4_153

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8410-7

  • Online ISBN: 978-981-15-8411-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation