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
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