DocumentCode
2654895
Title
Analysis of adaptive algorithm to power aware design for H.264/AVC integer motion estimation engine in HDTV application
Author
Huang, Yiqing ; Ikenaga, Takeshi
Author_Institution
Inf. Production & Syst., Waseda Univ., Kitakyushu, Japan
fYear
2009
fDate
20-23 Oct. 2009
Firstpage
163
Lastpage
166
Abstract
In this paper, we contribute two reconfigurable integer motion estimation (IME) architectures (namely RSADT and RPPSAD) based on adaptive algorithm. Firstly, based on the pixel difference analysis, the spatial redundancy is further exploited and three subsampling patterns are selected adaptively. Secondly, in order to keep full data reuse, we propose an architecture level data organization for RSADT architecture. For RPPSAD, we apply pixel classification and memory organization to keep full data reuse. An interactive data loading scheme is proposed to reduce power dissipation. Experiments show that, with some extra hardware, our RSADT can averagely achieve 65.86% reduction in processing time; as for RPPSAD, it can save 25.4% to 39.8% power dissipation when processing typical HDTV720p sequences.
Keywords
high definition television; image classification; motion estimation; reconfigurable architectures; storage management; video coding; H.264/AVC integer motion estimation; HDTV application; RPPSAD architecture; RSADT architecture; adaptive algorithm; architecture level data organization; interactive data loading; memory organization; pixel classification; pixel difference analysis; power aware design; power dissipation; reconfigurable architecture; spatial redundancy; Adaptive algorithm; Algorithm design and analysis; Automatic voltage control; Engines; HDTV; Hardware; Motion estimation; Pattern analysis; Power dissipation; Reconfigurable architectures; Adaptive Algorithm; H.264/AVC; Reconfigurable Architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
ASIC, 2009. ASICON '09. IEEE 8th International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-1-4244-3868-6
Electronic_ISBN
978-1-4244-3870-9
Type
conf
DOI
10.1109/ASICON.2009.5351583
Filename
5351583
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