DocumentCode :
248886
Title :
Fast Coding Tree Unit depth decision for high efficiency video coding
Author :
Zhaoqing Pan ; Sam Kwong ; Yun Zhang ; Jianjun Lei ; Hui Yuan
Author_Institution :
Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3214
Lastpage :
3218
Abstract :
High Efficiency Video Coding (HEVC) is the latest video coding standard, which adapts quadtree structure based Coding Tree Unit (CTU) to improve the coding efficiency. In HEVC encoding process, the CTU is recursively partitioned into coding units according to the quadtree depth. This technique increases the coding efficiency of HEVC, however, the achieved coding efficiency comes at the cost of high computational complexity. In this paper, we propose a fast C-TU quadtree depth decision algorithm to reduce the computational complexity of HEVC. Firstly, based on the best C-TU depth correlation among spatial and temporal neighboring CTUs, an early quadtree depth 0 decision algorithm is proposed. Then, according to the correlation between the prediction unit mode and the best CTU depth selection, a quadtree depth 3 skipped decision algorithm is proposed. Experimental results show that the proposed algorithm can achieve 40% on average encoding time saving, while maintaining a comparable rate-distortion performance.
Keywords :
computational complexity; correlation methods; decision theory; quadtrees; video coding; CTU depth correlation; CTU depth selection; HEVC; computational complexity; fast CTU quadtree depth decision algorithm; fast coding tree unit depth decision; high efficiency video coding; quadtree depth 3 skipped decision algorithm; rate-distortion performance; spatial neighboring; temporal neighboring; Algorithm design and analysis; Computational complexity; Correlation; Educational institutions; Encoding; Video coding; Coding tree unit; HEVC; fast algorithm; prediction unit; quadtree depth; video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025650
Filename :
7025650
Link To Document :
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