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