DocumentCode :
1895812
Title :
Reduced computation and memory access for VBSME using pixel truncation
Author :
Bahari, Asral ; Arslan, Tughrul ; Erdogan, Ahmet T.
Author_Institution :
School of Engineering and Electronics, University of Edinburgh, United Kingdom
fYear :
2007
fDate :
26-29 Sept. 2007
Firstpage :
59
Lastpage :
62
Abstract :
This paper presents a method to reduce the computation and memory access for variable-block-size motion estimation using pixel truncation. Previous work has focused on implementing pixel truncation using a fixed-block-size (16×16 pixels) motion estimation. However, pixel truncation fails to give satisfactory results for smaller block partitions. In this paper, we analyse the effect of truncating pixels for smaller block partitions and propose a method to improve the frame prediction. Our method is able to reduce the total computation and memory access compared to conventional full search method without significantly degrading picture quality.
Keywords :
Batteries; Costs; Degradation; Energy consumption; Hardware; MPEG 4 Standard; Motion estimation; Search methods; Video compression; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SOC Conference, 2007 IEEE International
Conference_Location :
Hsin Chu, Taiwan
Print_ISBN :
978-1-4244-1592-2
Electronic_ISBN :
978-1-4244-1593-9
Type :
conf
DOI :
10.1109/SOCC.2007.4545426
Filename :
4545426
Link To Document :
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