DocumentCode :
1904565
Title :
Fast coding algorithm based on adaptive coding depth range selection for HEVC
Author :
Lee, Jong-Hyeok ; Park, Chan-Seob ; Kim, Byung-Gyu
Author_Institution :
Dept. of Comput. Eng., SunMoon Univ., Asan, South Korea
fYear :
2012
fDate :
3-5 Sept. 2012
Firstpage :
31
Lastpage :
33
Abstract :
The JCT-VC is developing the next-generation video coding standard, called high efficiency video coding (HEVC). In HEVC, there are three units in a block structure. These units are a coding unit (CU), a prediction unit (PU), and a transform unit (TU). The CU is the basic unit for region splitting (like a macroblock). The CU performs recursive splitting into four blocks of equal size, starting from the treeblock. We use mode information of the current CU to avoid unnecessary CU splitting. To reduce the computational complexity, we propose a depth range selection mechanism (DRSM) using a selecting adaptive depth range. This depth range selection mechanism allows for effective splitting by only processing CUs that need this process. Experimental results show that the proposed algorithm achieves an approximate 48% reduction in encoding time for Random Access HE, compared to the HEVC test model (HM) 6.0 encoder with a BD-bitrate loss of 1.2%.
Keywords :
adaptive codes; computational complexity; video coding; HEVC; JCT-VC; adaptive coding; block structure; coding unit; computational complexity; depth range selection mechanism; fast coding; high efficiency video coding; joint collaborative team-video coding; next-generation video coding standard; prediction unit; random access HE; recursive splitting; region splitting; transform unit; Computational complexity; Correlation; Encoding; Signal processing algorithms; Standards; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics - Berlin (ICCE-Berlin), 2012 IEEE International Conference on
Conference_Location :
Berlin
ISSN :
2166-6814
Print_ISBN :
978-1-4673-1546-3
Type :
conf
DOI :
10.1109/ICCE-Berlin.2012.6336532
Filename :
6336532
Link To Document :
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