DocumentCode
584669
Title
Group-Based Fast Mode Decision Algorithm for Intra Prediction in HEVC
Author
Shunqing Yan ; Liang Hong ; Weifeng He ; Qin Wang
Author_Institution
Sch. of Microelectron., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2012
fDate
25-29 Nov. 2012
Firstpage
225
Lastpage
229
Abstract
High Efficiency Video Coding (HEVC), also known as H.265, is the next generation video compression standard beyond H.264. 35 intra prediction modes(IPM) are defined in HEVC to improve coding efficiency. But so many modes also result in the dramatically increased encoding complexity. In this paper, a novel fast intra mode decision algorithm is proposed to speed up the original intra coding in HEVC. Different from previous algorithms, we analyzed the statistics generated by rough mode decision (RMD) process which is adopted in HEVC. First, we found that the modes generated by RMD are usually adjacent to each other, thus representing roughly a same direction. We merged adjacent modes into same groups. Furthermore, early termination and pixel-based edge detection methods are employed to make accurate prediction by heuristically reducing the number of candidates for rate distortion optimization (RDO) process. Experimental results show that our proposed fast intra mode decision algorithm can obtain almost 23.52% time savings in all intra low complexity cases on average with negligible performance loss compared to the original HEVC intra coding in HM7.0. Meanwhile, the results are especially favorable when it comes to high resolution test sequences with up to 0.4% bit-rate increment and 21.81% time savings.
Keywords
data compression; edge detection; video coding; H.264.35 intraprediction modes; H.265; HEVC intracoding; HM7.0; IPM; RDO process; RMD process; early-termination method; encoding complexity; fast intramode decision algorithm; group-based fast mode decision algorithm; high-efficiency video coding; high-resolution test sequences; next generation video compression standard; pixel-based edge detection method; rate distortion optimization process; rough mode decision process; Computational complexity; Encoding; Image edge detection; Prediction algorithms; Standards; Video coding; HEVC; intra prediction; mode decision;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
Conference_Location
Naples
Print_ISBN
978-1-4673-5152-2
Type
conf
DOI
10.1109/SITIS.2012.41
Filename
6395099
Link To Document