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Systematic Raptor Codes with UEP Property for Image Media Transmission

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

Abstract

In order to improve unequal error protection (UEP) for compressed images, a novel rateless transmitting scheme is proposed in this paper. Based on 3GPP Raptor codes, this scheme can accurately match the image with different priority to ensure the efficiency and reliability. These Raptor codes have the linear complexity of encoding and decoding. In addition, a new framework called Short Interweaving Systematic Raptor (SISR) codes is proposed. Based on Markov process, the theoretical analysis of degree distribution design is given. Simulation results show that, compared to the traditional Raptor code, SISR can prominently improve the PSNR to obtain better image quality with different packet loss rate.

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References

  1. China Internet Network Information Center.: The 41st China Statistical Report on Internet Development, 2018; p. 21–5.

    Google Scholar 

  2. Luby M, Mitzenmacher M, Shokrollahi M, et al. Efficient erasure correcting codes. IEEE Trans J Inf Theory. 2001;47(2):569–84.

    Article  MathSciNet  Google Scholar 

  3. Shokrollahi A. Raptor codes. IEEE Trans J Inf Theory. 2006;52(6):2551–67.

    Article  MathSciNet  Google Scholar 

  4. 3GPP, Multimedia Broadcast/Multicast Service (MBMS); Protocols and Codecs, 3GPP TS 26.346 v10.0.0, Mar. 2011.

    Google Scholar 

  5. Xiong K, Zhang Y, Fan P, Yang HC. Evaluation framework for user experience in 5G systems on systematic rateless-coded transmissions. IEEE Access. 2016;4:9108–18.

    Article  Google Scholar 

  6. Hsiao H-F, Ciou Y-J. Layer-aligned multipriority rateless codes for layered video streaming. IEEE Trans. 2014;24(8):2–5.

    Google Scholar 

  7. Luo Z, Song L, Zheng S, Ling N. Raptor codes based unequal protection for compressed video according to packet priority. IEEE Trans. 2013;15(8):2208–12.

    Google Scholar 

  8. Cao Y, Blostein SD, Chan W-Y. Optimization of unequal error protection rateless codes for multimedia multicasting. J Commun Networks. 2015;17(3):221–9.

    Article  Google Scholar 

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Acknowledgments

This work was supported in part by the National Natural Sciences Foundation of China under Grant 61701136, Grant 61501140, Grant 61771158 and Grant 61525103, and China Postdoctoral Science Foundation Grant 2018M630357, and Shenzhen Basic Research Program under Grant JCYJ20170811154233370, Grant JCYJ20170811154309920 and Grant ZDSYS201707280903305.

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Correspondence to Shushi Gu .

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Chen, G., Gu, S., Wang, Y., Jiao, J., Zhang, Q. (2020). Systematic Raptor Codes with UEP Property for Image Media Transmission. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_50

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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