DocumentCode :
2280103
Title :
Content adaptive prediction unit size decision algorithm for HEVC intra coding
Author :
Tian, Guifen ; Goto, Satoshi
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
fYear :
2012
fDate :
7-9 May 2012
Firstpage :
405
Lastpage :
408
Abstract :
The quadtree based picture partition scheme in HEVC contributes to significant coding efficiency improvement, especially for high resolution videos. But encoding complexity also increases dramatically. This paper brings forward a two-stage prediction unit size decision algorithm to speed up the original intra coding in HEVC. In the pre-stage, texture complexity of down-sampled largest coding unit (LCU) and its four sub-blocks are analyzed according to video content, to filter out unnecessary prediction units for both the LCU and its sub-blocks. Secondly, during intra coding, prediction unit sizes of encoded neighboring blocks are utilized to skip small prediction unit candidates for current block. Experimental results show that proposed algorithm can speed up original HEVC intra coding by a factor of up to 73.7% and by averagely 44.91% for 4k×2k video sequences. Meanwhile, the peak signal-to-noise ratio degradation is less than 0.04dB and bit-rate stays almost the same compared with that of original HEVC intra coding.
Keywords :
encoding; error statistics; image sequences; video coding; HEVC intra coding; bit-rate; content adaptive prediction; down-sampled largest coding unit; encoding complexity; high efficiency video coding; high resolution videos; quadtree based picture partition; texture complexity; unit size decision; video sequences; Complexity theory; Encoding; Filtering; Image coding; PSNR; Prediction algorithms; Videos; HEVC; intra coding; prediction unit; texture complexity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium (PCS), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4577-2047-5
Electronic_ISBN :
978-1-4577-2048-2
Type :
conf
DOI :
10.1109/PCS.2012.6213317
Filename :
6213317
Link To Document :
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