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International Journal of Intelligent Systems
Article . 2002 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article
Data sources: zbMATH Open
DBLP
Article . 2002
Data sources: DBLP
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A strategy of matching blocks at multi-levels

Authors: Seok-Woo Jang; Hyung-Il Choi;

A strategy of matching blocks at multi-levels

Abstract

Summary: We propose a size-variable block-matching algorithm for motion-vector estimation. The proposed algorithm dynamically determines the search area and the size of a block. We exploit the constraint of small velocity changes of a block through time to determine the origin of the search area. The range of the search area is adjusted according to the motion coherency of spatially neighboring blocks. The process of determining the size of a block begins with the matching of a small block. If the matching degree is not good enough, we expand the size of the block slightly and then repeat the matching process until our matching criterion is satisfied. The experimental results show that the proposed algorithm can yield very accurate block motion vectors.

Related Organizations
Keywords

motion-vector estimation, size-variable block-matching algorithm, Machine vision and scene understanding

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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