A Multiresolution Channel Decomposition for H.264/AVC Unequal Error Protection


The most commonly used transmission channel in nowadays provides the same level of protection for all the information symbols. As the level of protection should be adequate to the importance of the information set, it is justified to use UEP channels in order to protect information of variable importance. Multiresolution channel decomposition has emerged as a strong concept and when combined with H.264/AVC layered multiresolution source it leads to outstanding results especially for mobile TV applications. Our approach is a double multiresolution scheme with embedded constellation modulations on its baseband channels followed by OFDM time/frequency multiresolution passband modulation. The aim is to protect The NAL units carrying the most valuable information by the coarse constellations into coarse sub-channels, and the NAL units that contain residual data by fined constellations and transposed into the fined OFDM sub-channels. In the multiresolution protection coding, our approach is a multiresolution decomposition of the core convolutional constituent of the PCCC where the NAL units carrying the most valuable information are coded by the rugged coefficient of the multiresolution code and the NAL units that contains residual data are coded by refined less secure coding coefficients.

Share and Cite:

R. Abbadi and J. Abbadi, "A Multiresolution Channel Decomposition for H.264/AVC Unequal Error Protection," Journal of Signal and Information Processing, Vol. 3 No. 1, 2012, pp. 1-15. doi: 10.4236/jsip.2012.31001.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] K. RamChandran, et al., “Muliresolution Broadcast for Digital HDTV Using Joint Source Channel Coding,” IEEE Journal on Selected Areas in Communication, Vol. 11, No. 1, 1993, pp. 6-23.
[2] T. Cover, “Broadcast Channels,” IEEE Transactions on Information Theory, Vol. 18, No. 1, 1972, pp. 2-14. doi:10.1109/TIT.1972.1054727
[3] T. Wiegand, G. J. Sullivan, G. Bjentegaard and A. Luthra, “Overview of the H.264/AVC Video Coding Standard,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 13, No. 7, 2003, pp. 560-576. doi:10.1109/TCSVT.2003.815165
[4] S. Kumar, L. Xu, M. K. Mandal and S. Panchanathan, “Error Resiliency Schemes in H.264/AVC Standard,” Journal of Visual Communication and Image Representation, Vol. 17, No. 2, 2006, pp. 425-450.
[5] Y. Dhondt and P. de Walle, “Flexible Macroblock Ordering an Error Resilience Tool in H264/AVC,” Fifth FTW Ph.D. Symposium, Faculty of Engineering, Ghent University, 2004.
[6] S. Ueda, H. Shigeno and K. I. Okada “NAL Level Stream Authentification for H.264/AVC,” IPSJ Digital Courier, Vol. 3, 2007, pp. 55-63. doi:10.2197/ipsjdc.3.55
[7] J. G. Proakis, “Digital Communications,” McGraw-Hill, New York, 1989.
[8] A. S. Saxena, “Embedded Multiresolution Signaling Scheme for CPFSK Modulation,” 2003. http://www.stanford.edu/~asaxena/resources/.../MRCPFSK_btech_thesis.pdf
[9] M. Pursley and J. Shea, “Nonuniform Phase-Shift-Key Modulation for Multimedia Multicast Transmission in Mobile Wireless Networks,” IEEE Journal on Selected Areas in Communication, Vol. 17, No. 5, 1999, pp. 774-783.
[10] M. Lallart, K. Nolan, P. Sutton and L. Doyle, “On-the-Fly Synchronization Using Wavelet and Wavelet Packet OFDM,” IEEE Signal Processing Letters, Vol. 12, 2005, pp. 577-580.
[11] H. Holms, M. M. Ghandi and E. V. Jones, “Spectral Efficiency of Variable-Rate Coded QAM for Flat Fading Channels,” IEEE Signal Processing Letters, Vol. 12, 2005, pp. 577-580.
[12] P. P. Vaidyanathan, “Multirate Systems and Filter Banks,” Prentice-Hall, Englewood Cliffs, 1992.
[13] G. Faria, J. A. Henriksson, E. Stare and P. Talmola, “DVB-H: Digital Broadcast Services to Handheld Devices,” Proceeding of the IEEE, Vol. 94, No. 1, 2006, pp. 194-209. doi:10.1109/JPROC.2005.861011
[14] S. Amir, A. Mehr, K. Nayebi and S. Kasaei, “Multirate Structures for Arbitrary Rate Error Control Coding,” 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 4, 2003, pp. 245-248.
[15] C. Berrou, A. Glavieux and P. Thitimajshima, “Near Shannon Limit Error-Correcting Coding and Decoding: Turbo Codes,” IEEE International Conference on Communications, Geneva, 23-26 May 1993, pp. 1064-1070.
[16] D. Divsalar, S. Doliar and F. Pollara, “Transfer Function Bounds on the Performance of Turbo Codes,” TDA Progress Report, Vol. 42, No. 122, 1995, pp. 44-45.
[17] S. Benedetto and G. Montorsi, “Unveilling Turbo Codes: Some Results on Parallel Concatenated Coding Schemes,” IEEE Transactions on Information Theory, Vol. 42, No. 2, 1996, pp. 409-428. doi:10.1109/18.485713
[18] S. Benedetto and G. Montorsi, “Design of Parallel Concatenated Convolutional Codes,” IEEE Transaction on Communications, Vol. 44, No. 5, 1996, pp. 591-600.
[19] E. Kuriata, “Creation of Unequal Error Protection Codes for Two Groups of Symbols,” International Journal of Applied Mathematics and Computer Science, Vol. 18, No. 2, 2008, pp. 251-257. doi:10.2478/v10006-008-0023-x

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.