A faster pixel-decimation method for block motion estimation in H.264/AVC

Detalhes bibliográficos
Autor(a) principal: Lins,R.C.
Data de Publicação: 2014
Outros Autores: Henriques,D.B., Lima,E.A., Melo,S.B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512014000100010
Resumo: This work explores the highly advantageous cost/benefit relation presented by low discrepancy sequences as a pixel-decimation technique to improve the block estimation performance in the H.264/AVC. The proposed method is able to efficiently estimate motion vectors for block matching algorithms present in the H.264 by using latticed decimation sampled according to the Van Der Corput-Halton sequences. This paper further explores motion estimation within the H.264, validating it with real-case-video-encoding scenarios. The results have shown that this technique incorporated to the H.264 is generally more efficient than other decimation techniques used in similar conditions.
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spelling A faster pixel-decimation method for block motion estimation in H.264/AVCmotion estimationlow-discrepancy sequencesvideo codingThis work explores the highly advantageous cost/benefit relation presented by low discrepancy sequences as a pixel-decimation technique to improve the block estimation performance in the H.264/AVC. The proposed method is able to efficiently estimate motion vectors for block matching algorithms present in the H.264 by using latticed decimation sampled according to the Van Der Corput-Halton sequences. This paper further explores motion estimation within the H.264, validating it with real-case-video-encoding scenarios. The results have shown that this technique incorporated to the H.264 is generally more efficient than other decimation techniques used in similar conditions.Sociedade Brasileira de Matemática Aplicada e Computacional2014-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512014000100010TEMA (São Carlos) v.15 n.1 2014reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)instname:Sociedade Brasileira de Matemática Aplicada e Computacionalinstacron:SBMAC10.5540/tema.2014.015.01.0119info:eu-repo/semantics/openAccessLins,R.C.Henriques,D.B.Lima,E.A.Melo,S.B.eng2014-06-10T00:00:00Zoai:scielo:S2179-84512014000100010Revistahttp://www.scielo.br/temaPUBhttps://old.scielo.br/oai/scielo-oai.phpcastelo@icmc.usp.br2179-84511677-1966opendoar:2014-06-10T00:00TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacionalfalse
dc.title.none.fl_str_mv A faster pixel-decimation method for block motion estimation in H.264/AVC
title A faster pixel-decimation method for block motion estimation in H.264/AVC
spellingShingle A faster pixel-decimation method for block motion estimation in H.264/AVC
Lins,R.C.
motion estimation
low-discrepancy sequences
video coding
title_short A faster pixel-decimation method for block motion estimation in H.264/AVC
title_full A faster pixel-decimation method for block motion estimation in H.264/AVC
title_fullStr A faster pixel-decimation method for block motion estimation in H.264/AVC
title_full_unstemmed A faster pixel-decimation method for block motion estimation in H.264/AVC
title_sort A faster pixel-decimation method for block motion estimation in H.264/AVC
author Lins,R.C.
author_facet Lins,R.C.
Henriques,D.B.
Lima,E.A.
Melo,S.B.
author_role author
author2 Henriques,D.B.
Lima,E.A.
Melo,S.B.
author2_role author
author
author
dc.contributor.author.fl_str_mv Lins,R.C.
Henriques,D.B.
Lima,E.A.
Melo,S.B.
dc.subject.por.fl_str_mv motion estimation
low-discrepancy sequences
video coding
topic motion estimation
low-discrepancy sequences
video coding
description This work explores the highly advantageous cost/benefit relation presented by low discrepancy sequences as a pixel-decimation technique to improve the block estimation performance in the H.264/AVC. The proposed method is able to efficiently estimate motion vectors for block matching algorithms present in the H.264 by using latticed decimation sampled according to the Van Der Corput-Halton sequences. This paper further explores motion estimation within the H.264, validating it with real-case-video-encoding scenarios. The results have shown that this technique incorporated to the H.264 is generally more efficient than other decimation techniques used in similar conditions.
publishDate 2014
dc.date.none.fl_str_mv 2014-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512014000100010
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512014000100010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5540/tema.2014.015.01.0119
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.source.none.fl_str_mv TEMA (São Carlos) v.15 n.1 2014
reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
instname:Sociedade Brasileira de Matemática Aplicada e Computacional
instacron:SBMAC
instname_str Sociedade Brasileira de Matemática Aplicada e Computacional
instacron_str SBMAC
institution SBMAC
reponame_str TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
collection TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
repository.name.fl_str_mv TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional
repository.mail.fl_str_mv castelo@icmc.usp.br
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