Presentation 2006-12-15
A 0.3mW 1.4mm^2 Motion Estimation Processor LSI for Mobile Video Application
Seiichiro HIRATSUKA, Kazunori SHIMIZU, Satoshi GOTO, Takeshi Ikenaga,
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Abstract(in English) Motion estimation (ME) is a key processing in video encoding systems. Since it requires huge computational complexity, many algorithms and LSI architectures have been proposed to reduce it. Conventional LSIs, however, are not sufficient for mobile applications which require both flexibility and low power dissipation. This paper describes an application specific instruction processor (ASIP) LSI for ME processing. It has a dedicated unit for SAD (sum of absolute difference) operations. By applying our proposed ultra-low ME algorithm named ULCMEA, it can reduce power while keeping high flexibility. A chip capable of operating at 80MHz was fabricated using TSMC 0.18-μm CMOS technology. 15K logic gates and 32Kbit SRAM have been integrated into 1.4mm^2 chip. Typical power dissipation is 0.3-mW for QCIF 15 frame/sec ME processing.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) motion estimation / full search / SAD / application specific instruction-set processor
Paper # ICD2006-168
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Conference Date 2006/12/7(1days)
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Registration To Integrated Circuits and Devices (ICD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A 0.3mW 1.4mm^2 Motion Estimation Processor LSI for Mobile Video Application
Sub Title (in English)
Keyword(1) motion estimation
Keyword(2) full search
Keyword(3) SAD
Keyword(4) application specific instruction-set processor
1st Author's Name Seiichiro HIRATSUKA
1st Author's Affiliation Fukuoka Industry, Science & Technology Foundation:Kyushu Laboratory, Advanced Research Institute for Science & Engineering, Waseda University()
2nd Author's Name Kazunori SHIMIZU
2nd Author's Affiliation Graduate School of Information, Production and Systems, Waseda University:Kyushu Laboratory, Advanced Research Institute for Science & Engineering, Waseda University
3rd Author's Name Satoshi GOTO
3rd Author's Affiliation Graduate School of Information, Production and Systems, Waseda University:Kyushu Laboratory, Advanced Research Institute for Science & Engineering, Waseda University
4th Author's Name Takeshi Ikenaga
4th Author's Affiliation Graduate School of Information, Production and Systems, Waseda University:Kyushu Laboratory, Advanced Research Institute for Science & Engineering, Waseda University
Date 2006-12-15
Paper # ICD2006-168
Volume (vol) vol.106
Number (no) 425
Page pp.pp.-
#Pages 6
Date of Issue