DocumentCode
3315668
Title
Fast intra mode decision algorithm based on refinement in HEVC
Author
Longfei Gao ; Shengfu Dong ; Wenmin Wang ; Ronggang Wang ; Wen Gao
Author_Institution
Peking Univ. Shenzhen Grad. Sch., Shenzhen, China
fYear
2015
fDate
24-27 May 2015
Firstpage
517
Lastpage
520
Abstract
High Efficiency Video Coding (HEVC) is the next generation video compression standard providing significant coding performance. It adopts 35 intra prediction modes with larger CU size to improve the intra encoding efficiency, so that cause a high computational complexity. In this paper, two fast intra-prediction algorithms are proposed to reduce the number of candidate modes for rate-distortion (RD) optimization. We obtain an optimal adjacent modes (OAM) list consisting of dominant directions through the analysis of costs of several general direction modes. Furthermore, we improve the most probable mode (MPM) algorithm to make full use of the spatial correlation between neighbour prediction blocks instead of simply merging the prediction modes of neighbour prediction blocks into the candidate list. Experimental results show that the proposed algorithms can reduce about 27.3% of the encoding time compared to the HEVC test model 14.0, while the decrease of coding quality is negligible.
Keywords
data compression; optimisation; video coding; HEVC; MPM algorithm; OAM list; RD optimization; computational complexity; fast intra mode decision algorithm; high efficiency video coding; intra prediction modes; most probable mode algorithm; neighbour prediction blocks; next generation video compression standard; optimal adjacent modes list; rate-distortion optimization; Algorithm design and analysis; Correlation; Encoding; Optimization; Prediction algorithms; Standards; Video coding; Fast mode decision; General directions; HEVC; Intra prediction; OAM;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
Conference_Location
Lisbon
Type
conf
DOI
10.1109/ISCAS.2015.7168684
Filename
7168684
Link To Document