Motion Compensated Frame Interpolation Based on Mixed Particle Filter and Genetic Algorithm Approach

Author

Song, Haibin ; Men, Aidong ; Zheng, Xu

Author_Institution

Sch. of Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing

Volume

5

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

573

Lastpage

579

Abstract

We propose a new motion compensated frame interpolation scheme for video post-processing. Mixed particle filter (PF) and genetic algorithm (GA) approach is proposed to do the motion estimation, also a new fitness function considering object and subject visual quality evaluation is proposed. Beside, two new motion vector smoothing method are proposed to get a more consistency motion vector field. The simulation shows a high subjective and objective performance of the proposed scheme.

Keywords

genetic algorithms; interpolation; motion estimation; particle filtering (numerical methods); smoothing methods; video signal processing; genetic algorithm; mixed particle filter; motion compensated frame interpolation; motion estimation; motion vector smoothing method; video post-processing; Decoding; Genetic algorithms; Genetic engineering; Interpolation; Motion estimation; Particle filters; Smoothing methods; Telecommunication computing; Video sequences; Videoconference; MCFI; genetic algorithm; motion estimation; particle filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.653

Filename

4667500