DocumentCode :
2123092
Title :
Gradient based fast mode decision algorithm for intra prediction in HEVC
Author :
Jiang, Wei ; Ma, Hanjie ; Chen, Yaowu
Author_Institution :
Inst. of Adv. Digital Technol. & Instrum., Zhejiang Univ., Hangzhou, China
fYear :
2012
fDate :
21-23 April 2012
Firstpage :
1836
Lastpage :
1840
Abstract :
High Efficiency Video Coding (HEVC) is an ongoing video compression standard and a successor to H.264/AVC. It aims to provide significantly improved compression performance as compared to all existing video coding standards. In the intra prediction of HEVC, this is being achieved by providing up to 35 intra modes with larger coding unit. The optimal mode is selected by a rough mode decision (RMD) process from all of the available modes first, and then through the rate-distortion optimization (RDO) process for the final decision. Because the fact that every coding unit with different sizes is traversed in both procedures makes it very time-consuming, a gradient based fast mode decision algorithm is proposed in this paper to reduce the computational complexity of HEVC. Prior to intra prediction, gradient directions are calculated and a gradient-mode histogram is generated for each coding unit. Based on the distribution of the histogram, only a small part of the candidate modes are chosen for the RMD and the RDO processes. As compared to the default encoding scheme in HEVC test model HM 4.0, experimental results show that the fast intra mode decision scheme provides almost 20% time savings in all intra low complexity cases on average with negligible loss of coding efficiency.
Keywords :
computational complexity; data compression; gradient methods; video coding; H.264-AVC; HEVC intra prediction; RDO process; RMD process; candidate modes; coding unit; computational complexity; default encoding scheme; gradient based fast mode decision algorithm; gradient directions; gradient-mode histogram; high efficiency video coding; optimal mode; rate-distortion optimization process; rough mode decision process; test model HM 4.0; video compression standard; Algorithm design and analysis; Copper; Encoding; Histograms; Prediction algorithms; Rate-distortion; Video coding; HEVC; gradient; intra prediction; mode decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
Type :
conf
DOI :
10.1109/CECNet.2012.6201851
Filename :
6201851
Link To Document :
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