DocumentCode :
3275752
Title :
Confidence interval based motion estimation
Author :
Nan Hu ; En-Hui Yang
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
1588
Lastpage :
1592
Abstract :
A new video standard called High Efficiency Video Coding (HEVC) is now being finalized. In comparison with the H.264/AVC video coding standard, HEVC further improves video coding rate distortion (RD) performance, but at the price of significant increase in its encoding complexity, especially in its motion estimation (ME). To reduce the ME complexity in HEVC while maintaining its RD performance, in this paper, we first formulate ME as a statistical inference problem and then propose a confidence interval based ME method. It is shown by experiments that, for the four test sequences with higher searching complexity under low delay main, our proposed ME method further reduces the integer level ME time of the fast search in HEVC by 73.49% on average with only 1.22% increase in bit rate and 0.024dB loss in PSNR.
Keywords :
motion estimation; rate distortion theory; standards; statistical analysis; video coding; H.264-AVC video coding standard; HEVC; ME complexity reduction; PSNR; RD performance; confidence interval based ME method; confidence interval based motion estimation; encoding complexity; high efficiency video coding; statistical inference problem; video coding rate distortion performance; Confidence interval; HEVC; integer motion estimation; video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738327
Filename :
6738327
Link To Document :
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