Abstract
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This paper presents a flexible and scalable approach to the parallelization of the computation of optical flow. This approach is based on data parallel distribution. Images are divided into several subimages processed by a software pipeline while respecting dependencies between computation stages. The parallelization has been implemented in three different infrastructures: shared, distributed memory, and hybrid to show its conceptual flexibility and scalability. A significant improvement in performance was obtained in all three cases. | |
International
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Si |
JCR
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Si |
Title
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Eurasip Journal on Image And Video Processing |
ISBN
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1687-5281 |
Impact factor JCR
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0,66 |
Impact info
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Datos JCR del año 2013 |
Volume
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10.1186/1687-5281-2014-18 |
Journal number
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From page
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1 |
To page
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19 |
Month
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SIN MES |
Ranking
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