DocumentCode :
464854
Title :
Iterative Joint Source-Channel Decoding of H.264 Compressed Video
Author :
Levine, David ; Lynch, William E. ; Le-Ngoc, Tho
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que.
fYear :
2007
fDate :
27-30 May 2007
Firstpage :
1517
Lastpage :
1520
Abstract :
This paper proposes an iterative joint source-channel decoding (IJSCD) scheme for the transmission of H.264 compressed video over a noisy channel. It uses channel coding along with H.264 semantic verification. The structure, selection of design parameters, and performance of the proposed IJSCD based on a rate-% recursive systematic convolutional (RSC) code over an AWGN channel are described and discussed as an illustrative example. In the example, for the same PSNR, the proposed IJSCD scheme offers a significant saving of 2.1dB in required channel SNR as compared to a system using the same RSC code alone. Furthermore, the performance can be improved by iterative decoding at the cost of increased delay. Hence, a tradeoff can be made between performance improvement and delay
Keywords :
AWGN channels; channel coding; convolutional codes; iterative decoding; video coding; AWGN channel; H.264 compressed video; H.264 semantic verification; channel coding; compressed video transmission; iterative decoding; iterative joint source-channel decoding; noisy channel; recursive systematic convolutional code; AWGN channels; Additive white noise; Channel coding; Convolutional codes; Costs; Delay; Gaussian noise; Iterative decoding; PSNR; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
Type :
conf
DOI :
10.1109/ISCAS.2007.378699
Filename :
4252939
Link To Document :
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