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 (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 :
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
Link To Document :
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