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Adaptive Joint Source-Channel Coding for Scalable Video

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Encyclopedia of Multimedia
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Synonyms

Joint source-channel coding

Definition

Adaptive joint source-channel coding for scalable video minimizes the reconstructed video distortion at the decoder subject to a constraint on the overall transmission bit rate budget.

Introduction

Adaptive Joint Source-Channel Coding (AJSCC) optimizes the rate allocation for scalable source and channel coding efficiently. There are some scenarios where the AJSCC can play a vital role. Firstly, multi-user environments and multi-user heterogeneous networks are the most likely candidate for the AJSCC, as shown in Fig. 1. Secondly, the AJSCC will have maximal impact, when resource constraints are inflexible. In the scenario depicted in Fig. 1, the video server requires video contents of different fidelities, such as high quality material for storage and future editing and lower bit-rate content for distribution. In traditional video communications over heterogeneous channels, the video is usually processed offline. Compression and storage...

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References

  1. M. Mrak, N. Sprljan, T. Zgaljic, N. Ramzan, S. Wan, and E. Izquierdo, “Performance evidence of software proposal for Wavelet Video Coding Exploration group, ISO/IEC JTC1/SC29/WG11/MPEG2006/M13146,” 76th MPEG Meeting, Montreux, Switzerland, April 2006.

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  2. C. Berrou and A. Glavieux, “Near-Optimum Error-Correction Coding and Decoding: Turbo Codes,” IEEE Transactions on Communications, Vol. 44, No. 10, October 1996, pp. 1261–1271.

    Article  Google Scholar 

  3. C.E. Shannon, “A Mathematical Theory of Communication,” Bell System Technical Journal, Vol. 27, 1948, pp. 379–423.

    MathSciNet  Google Scholar 

  4. C. Doulliard and C. Berrou, “Turbo Codes with Rate-m/(m + 1) Constituent Convolutional Codes,” IEEE Transactions on Communications, Vol. 53, No. 10, October 2005, pp. 1630–1638.

    Article  Google Scholar 

  5. N. Ramzan and E. Izquierdo, “Scalable Video Transmission Using Double Binary Turbo Codes,” Proceedings of 13th IEEE International Conference on Image Processing (ICIP), Atlanta, USA, October 2006.

    Google Scholar 

  6. N. Thomos, N.V. Boulgouris, and M.G Strintzis, “Wireless Image Transmission Using Turbo Codes and Optimal Unequal Error Protection,” IEEE Transactions on Image Processing, Vol. 14. No. 11, November 2005, pp. 1890–1901.

    Article  Google Scholar 

  7. N. Ramzan, S. Wan, and E. Izquierdo, “Joint Source-Channel Coding for Wavelet-Based Scalable Video Transmission Using an Adaptive Turbo Code,” EURASIP Journal on Image and Video Processing, Vol. 2007, Article ID 47517, 12pp.

    Google Scholar 

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© 2008 Springer-Verlag

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Ramzan, N., Izquierdo, E. (2008). Adaptive Joint Source-Channel Coding for Scalable Video. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_5

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