DocumentCode
2191198
Title
Low Computation and Memory Access for Variable Block Size Motion Estimation Using Pixel Truncation
Author
Bahari, Asral ; Arslan, Tughrul ; Erdogan, Ahmet T.
Author_Institution
School of Engineering and Electronics, University of Edinburgh, United Kingdom, Email: a.bahari@ed.ac.uk
fYear
2007
fDate
17-19 Oct. 2007
Firstpage
681
Lastpage
685
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 (16Ã16 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
Costs; Degradation; Energy consumption; Hardware; MPEG 4 Standard; Motion estimation; Quadratic programming; Quantization; Search methods; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems, 2007 IEEE Workshop on
Conference_Location
Shanghai, China
ISSN
1520-6130
Print_ISBN
978-1-4244-1222-8
Electronic_ISBN
1520-6130
Type
conf
DOI
10.1109/SIPS.2007.4387631
Filename
4387631
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