DocumentCode :
3477042
Title :
A genetic algorithm for side information enhancement in distributed video coding
Author :
Yaacoub, Charles ; Farah, Joumana ; Pesquet-Popescu, Beatrice
Author_Institution :
Fac. of Sci. & Comput. Eng., Holy-Spirit Univ. of Kaslik, Jounieh, Lebanon
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
2933
Lastpage :
2936
Abstract :
This work aims at improving the quality of the side information in distributed video coding. Based on genetic algorithms, our proposed technique combines several frames, interpolated using previously developed methods, in a fusion-based approach. Simulation results show a significant improvement in the side information quality compared to other interpolation techniques available in the literature, which greatly improves the rate-distortion performance of a distributed video codec, where the gain in PSNR can reach 6 dB.
Keywords :
genetic algorithms; image enhancement; video coding; distributed video coding; frame interpolation; fusion-based approach; genetic algorithm; rate-distortion performance; side information enhancement; Decoding; Distributed computing; Genetic algorithms; Image sequences; Interpolation; Telecommunication computing; Video codecs; Video coding; Video compression; Wireless sensor networks; Distributed video coding; Wyner-Ziv coding; frame interpolation; genetic algorithms; side information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413566
Filename :
5413566
Link To Document :
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