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Multiterminal source coding for multiview images under wireless fading channels

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Abstract

This paper addresses the problem of wireless transmission of a captured scene from multiple cameras, which do not communicate among each other, to a joint decoder. Correlation among different camera views calls for distributed source coding for efficient multiview image compression. The fact that cameras are placed within a short range of each other results in a high level of interference, multipath fading, and noise effects during communications. We develop a novel two-camera system, that employs multiterminal source coding and complete complementary data spreading, so that while the former technique exploits the statistical correlation between camera views, and performs joint compression to reduce transmission rates, the spreading technique will protect transmitted data by mitigating the effects of wireless fading channels. Our results indicate that the proposed system is competitive when compared to two independently JPEG encoded streams at low to medium transmission rates.

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Abbreviations

MT-SC:

Multiterminal source coding

JPEG:

Joint photographic expert group

CC:

Complete Complementary sequences

SW:

Slepian Wolf

WZ:

Wyner Ziv

References

  1. Berger T (1977) Multiterminal source coding. In: Longo G (ed) The Information Theory Approach to Communications. Springer-Verlag, New York

    Google Scholar 

  2. Bodden E, Clasen M, Kneis J Arithmetic Coding revealed. Technical Report 2007-5, Sable Research Group, McGill University

  3. Brites C, Ascenso J, Pereira F (2008) Evaluating a Feedback Channel based Transform Domain Wyner-Ziv Video Codec. Signal Process Image Commun 23(4):269–297. doi:10.1016/j.image.2008.03.002

    Article  Google Scholar 

  4. Chen HH, Guizani M (2006) Next Generation Wireless Systems and Networks, Wiley, 2006

  5. Girod B, Aaron A, Rane S, Rebollo-Monedero D (2005) Distributed video coding. Proc IEEE 93:71–83. doi:10.1109/JPROC.2004.839619

    Article  Google Scholar 

  6. Guillemot C, Pereira F, Torres L, Ebrahimi T (2007) R. Leonardi, and J. Ostermann, Distributed monoview and multiview video coding: Basics, problems and recent advances. IEEE Signal Process Mag (Sept):67–76. doi:10.1109/MSP.2007.904808

  7. Khirallah C, Coulton P, Rashvand H, Zein N (2006) Multi-user MIMO CDMA systems using complete complementary sequences. IET Proc. Commun 153(4):533–540

    Article  Google Scholar 

  8. Oohama Y (2005) Rate-distortion theory for Gaussian multiterminal source coding systems with several side informations at the decoder. IEEE Trans. Inform. Theory 51(7):2577–2593

    Article  MathSciNet  Google Scholar 

  9. Ouaret M, Dufaux F, Ebrahimi T (2007) “Multiview distributed video coding with encoder driven fusion,” European Conference on Signal Processing (EUSIPCO), Poznan, Poland

  10. Slepian D, Wolf J (1973) Noiseless coding of correlated information sources. IEEE Trans Inform Theory 19(4):471–480

    Article  MATH  MathSciNet  Google Scholar 

  11. Stankovic V, Liveris AD, Xiong Z, Georghiades CN (2006) On code design for the Slepian-Wolf problem and lossless multiterminal networks. IEEE Trans Inf Theory 52:1495–1507. doi:10.1109/TIT.2006.871046

    Article  MathSciNet  Google Scholar 

  12. Tagliasacchi M, Prandi G, Tubaro S (2007) “Symmetric distributed coding of stereo video sequences,” in Proc. ICIP-2007 IEEE International Conference on Image Processing, San Antonio, TX, Sept. 2007

  13. Varodayan D, Mavlankar A, Flierl M, Girod B (2007) Distributed grayscale stereo image coding with unsupervised learning of disparity, Proc. IEEE Data Compression Conference, DCC 2007, Snowbird, Utah, March 2007

  14. Wagner AB, Tavildar S, Viswanath P (2008) Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem. IEEE Trans Inf Theory 54(5):1938–1961. doi:10.1109/TIT.2008.920343

    Article  MathSciNet  Google Scholar 

  15. Wyner A, Ziv J (1976) The rate-distprtion function for source coding with side information at the decoder. IEEE Trans Inf Theory 22:1–10. doi:10.1109/TIT.1976.1055508

    Article  MATH  MathSciNet  Google Scholar 

  16. Yang Y, Stanković V, Xiong Z, Zhao W (2008) On multiterminal source code design. IEEE Trans Inf Theory 54:2278–2302. doi:10.1109/TIT.2008.920204

    Article  Google Scholar 

  17. Yang Y, Stankovic V, Zhao W, Xiong Z (2009) Two-terminal video coding. IEEE Trans. on Image Processing 18(3):534–551

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW, UK

    Chadi Khirallah, Vladimir Stankovic & Lina Stankovic

  2. School of Electrical and Computer Engineering, Schusterman Center, University of Oklahoma, Tulsa, OK, 74135-2512, USA

    Samuel Cheng

Authors
  1. Chadi Khirallah
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  2. Vladimir Stankovic
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  3. Lina Stankovic
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  4. Samuel Cheng
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Corresponding author

Correspondence to Chadi Khirallah.

Additional information

This work is supported by EPSRC Research Grant EP/E021964/1.

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Khirallah, C., Stankovic, V., Stankovic, L. et al. Multiterminal source coding for multiview images under wireless fading channels. Multimed Tools Appl 48, 457–470 (2010). https://doi.org/10.1007/s11042-009-0313-9

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