Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement

Author

Gaoxing Chen ; Zhenyu Pei ; Lei Sun ; Zhenyu Liu ; Ikenaga, Takeshi

Author_Institution

Grad. Sch. of IPS, Waseda Univ., Kitakyushu, Japan

fYear

2013

fDate

6-10 July 2013

Firstpage

514

Lastpage

517

Abstract

High Efficiency Video Coding (HEVC), a successor to H.264, is the next generation video compression standard. To enhance the coding efficiency of video frames, 35 intra prediction modes adopted in Prediction Unit (PU) from 4×4 to 64×64 of HEVC. However, the improvement is based on the cost of rapid increased complexity performance loss. This paper proposed a Pixel Gradient Statistics (PGS) and Mode Refinement (MR) based fast mode decision algorithm. PGS use pixel gradient information to assist prediction mode selection after Rough Mode Decision (RMD). MR utilizes neighboring mode information to select most probable mode (MPM). Experiment result shows that the proposed method performs about 28% time saving with little degradation (BD-rate increase 0.53% and BDPSNR reduce 0.038) in the coding gain.

Keywords

data compression; gradient methods; statistical analysis; video coding; H.264 standard; HEVC; MPM; MR; PGS; PU; coding efficiency enhancement; coding gain; fast intra prediction; fast mode decision algorithm; high efficiency video coding; mode refinement; neighboring mode information; next generation video compression standard; pixel gradient statistics; prediction mode selection; prediction unit; rough mode decision; video frames; Algorithm design and analysis; Encoding; Equations; Mathematical model; Prediction algorithms; Standards; Video coding; HEVC; Intra prediction; gradient; mode decision;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/ChinaSIP.2013.6625393

Filename

6625393