DocumentCode :
598078
Title :
Memory cost vs. coding efficiency trade-offs for HEVC motion estimation engine
Author :
Sinangil, M.E. ; Chandrakasan, Anantha P. ; Sze, Vivienne ; Minhua Zhou
Author_Institution :
Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
1533
Lastpage :
1536
Abstract :
This paper presents a comparison between various High Efficiency Video Coding (HEVC) motion estimation configurations in terms of coding efficiency and memory cost in hardware. An HEVC motion estimation hardware model that is suitable to implement HEVC reference software (HM) search algorithm is created and memory area and data bandwidth requirements are calculated based on this model. 11 different motion estimation configurations are considered. Supporting smaller block sizes is shown to impose significant memory cost in hardware although the coding gain achieved through supporting them is relatively smaller. Hence, depending on target encoder specifications, the decision can be made not to support certain block sizes. Specifically, supporting only 64x64, 32x32 and 16x16 block sizes provide 3.2X on-chip memory area, 26X on-chip bandwidth and 12.5X off-chip bandwidth savings at the expense of 12% bit-rate increase when compared to the anchor configuration supporting all block sizes.
Keywords :
motion estimation; video coding; HEVC motion estimation engine; HEVC motion estimation hardware model; HEVC reference software search algorithm; HM search algorithm; block sizes; coding efficiency trade-offs; coding gain; data bandwidth requirements; high efficiency video coding motion estimation configurations; memory cost; on-chip memory area; target encoder specifications; Bandwidth; Encoding; Engines; Hardware; Motion estimation; System-on-a-chip; Video coding; HEVC; memory area; memory bandwidth; motion estimation; reference buffer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467164
Filename :
6467164
Link To Document :
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