DocumentCode
2560559
Title
Efficient shift of reference data in analog motion estimation
Author
Koskinen, Lauri ; Halonen, Kari ; Paasio, Ari
Author_Institution
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Finland
fYear
2005
fDate
28-30 May 2005
Firstpage
130
Lastpage
133
Abstract
A novel method of shifting data within a cellular nonlinear network is presented. The method utilizes a 3-neighborhood connection and a novel cell type to reduce the error due to the shift. The novel cell type halves the amount of current mirrors needed for each shift. The applications of the method lie in block-based motion estimation of current video coding standards such as MPEG-4 or H.264. With the method the number of shifts for a [-7×7] motion estimation search area is reduced from seven to three. Simulations of the cell implemented in 0.13 CMOS show a negligible decrease in rate-distortion when compared to conventional MPEG-4 motion estimation. The error is largest when the magnitude of the motion vectors is small.
Keywords
cellular neural nets; motion estimation; video coding; 3-neighborhood connection; analog motion estimation; block-based motion estimation; cellular nonlinear network; reference data shift; video coding standards; Cameras; Cellular networks; Cellular neural networks; Discrete cosine transforms; MPEG 4 Standard; Mirrors; Motion estimation; Sensor arrays; Streaming media; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2005 9th International Workshop on
Print_ISBN
0-7803-9185-3
Type
conf
DOI
10.1109/CNNA.2005.1543178
Filename
1543178
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