Title :
Low Power Hardware Architecture for VBSME Using Pixel Truncation
Author :
Bahari, Asral ; Arslan, Tughrul ; Erdogan, Ahmet T.
Author_Institution :
Univ. of Edinburgh, Edinburgh
Abstract :
This paper presents an efficient architecture to implement low power variable block size motion estimation (VBSME) using full search. Power reduction is achieved by performing the search in two steps: low pixel resolution and full pixel resolution. We analysed the computation and memory units needed to support these two search modes. The proposed architecture reduces the total energy consumption by 50% with 6% additional area compared to the conventional architecture.
Keywords :
image resolution; integrated memory circuits; low-power electronics; memory architecture; motion estimation; energy consumption; full-pixel resolution; full-search motion estimation; low-pixel resolution; low-power hardware architecture; memory architecture; pixel truncation; variable block size motion estimation; Bandwidth; Batteries; Computer architecture; Costs; Degradation; Energy consumption; Energy resolution; Hardware; Motion estimation; Video compression;
Conference_Titel :
VLSI Design, 2008. VLSID 2008. 21st International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
0-7695-3083-4
DOI :
10.1109/VLSI.2008.100