A comparative analysis for low power motion estimation VLSI architectures

2002 ◽  
Author(s):  
M.A. Elgamel ◽  
A.M. Shams ◽  
M.A. Bayoumi
Keyword(s):  
Comparative Analysis ◽  
Motion Estimation ◽  
Low Power ◽  
Vlsi Architectures

Reduced bit low power VLSI architectures for motion estimation

2013 ◽  
Vol 24 (3) ◽  
pp. 382-399 ◽  
Author(s):  
Shahrukh Agha ◽  
Shahid Khan ◽  
Shahzad Malik ◽  
Raja Riaz
Keyword(s):  
Motion Estimation ◽  
Low Power ◽  
Vlsi Architectures

LOW POWER FULL SEARCH BLOCK MATCHING MOTION ESTIMATION VLSI ARCHITECTURES

2004 ◽  
Vol 13 (06) ◽  
pp. 1271-1288 ◽  
Author(s):  
MOHAMED A. ELGAMEL ◽  
MAGDY A. BAYOUMI ◽  
AHMED M. SHAMS ◽  
BERTRAND ZAVIDOVIQUE
Keyword(s):  
Power Consumption ◽  
Motion Estimation ◽  
Low Power ◽  
Block Matching ◽  
Huge Amount ◽  
Analytical Analysis ◽  
Vlsi Architectures ◽  
Simulation Results ◽  
Full Search ◽  
Low Power Architectures

Power consumption is very critical for portable video applications. During compression, the motion estimation unit consumes the largest portion of power since it performs a huge amount of computation. Different low power architectures for implementing the full-search block-matching (FSBM) motion estimation are discussed. Also, architectural enhancements to further reduce the power consumed during FSBM motion estimation without sacrificing throughput or optimality are presented. The proposed approach achieves these power savings by disabling portions of the architecture that perform unnecessary computations. A comparison between the different architectures including our enhancements and others is presented using simulation and analytical analysis. Different benchmarks are used to test and compare the discussed architectures. Analytical and simulation results show the effectiveness of the enhancements.

Low-Power Motion Estimation Processor with 3D Stacked Memory

2015 ◽  
Vol E98.A (7) ◽  
pp. 1431-1441 ◽  
Author(s):  
Shuping ZHANG ◽  
Jinjia ZHOU ◽  
Dajiang ZHOU ◽  
Shinji KIMURA ◽  
Satoshi GOTO
Keyword(s):  
Motion Estimation ◽  
Low Power ◽  
Stacked Memory

scholarly journals Low Power Digital Multimedia Telecommunication Designs

VLSI Design ◽  
2001 ◽  
Vol 12 (3) ◽  
pp. 301-315 ◽  
Author(s):  
Koon-Shik Cho ◽  
Jun-Dong Cho
Keyword(s):  
Motion Estimation ◽  
Low Power ◽  
Communication Systems ◽  
Matched Filter ◽  
Optimization Technique ◽  
Low Power Design ◽  
Multimedia Systems ◽  
Wireless Multimedia ◽  
Design Constraint ◽  
Power Capability

The increasing prominence of wireless multimedia systems and the need to limit power capability in very-high density VLSI chips have led to rapid and innovative developments in low-power design. Power reduction has emerged as a significant design constraint in VLSI design. The need for wireless multimedia systems leads to much higher power consumption than traditional portable applications. This paper presents possible optimization technique to reduce the energy consumption for wireless multimedia communication systems. Four topics are presented in the wireless communication systems subsection which deal with architectures such as PN acquisition, parallel correlator, matched filter and channel coding. Two topics include the IDCT and motion estimation in multimedia application.These topics consider algorithms and architectures for low power design such as using hybrid architecture in PN acquisition, analyzing the algorithm and optimizing the sample storage in parallel correlator, using complex matched filter that analog operational circuits controlled by digital signals, adopting bit serial arithmetic for the ACS operation in viterbi decoder, using CRC to adaptively terminate the SOVA iteration in turbo decoder, using codesign in RS codec, disabling the processing elements as soon as the distortion values become great than the minimum distortion value in motion estimation, and exploiting the relative occurrence of zero-valued DCT coefficient in IDCT.

A Novel Low-Power Motion Estimation Design for H.264

2007 ◽  
Author(s):  
Maria G. Koziri ◽  
Adonios N. Dadaliaris ◽  
Georgios I. Stamoulis ◽  
Ioannis X. Katsavounidis
Keyword(s):  
Motion Estimation ◽  
Low Power
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