Fast motion estimation algorithm for HEVC video encoder

Bibliographic Details
Main Author: Nalluri, Purnachand
Publication Date: 2013
Other Authors: Alves, Luis Nero, Navarro, António
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10773/11820
Summary: Video compression is required in applications like video network communications, video conference, broadcasting, live streaming and video storage. H.265/HEVC is the latest video compression standard, jointly developed by JCT-VC that provides the highest compression efficiency without significant loss in original video source quality. Among all the tools in HEVC encoder, Motion Estimation (ME) is one of the most complex tasks. The present paper analyses the ME algorithm present in HEVC standard reference software and proposes two improvements to the algorithm. Our results show a decrease on the computational complexity by almost 30% with negligible loss in the video quality.
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spelling Fast motion estimation algorithm for HEVC video encoderVideo compressionHEVCMotion estimationVideo encoderVideo compression is required in applications like video network communications, video conference, broadcasting, live streaming and video storage. H.265/HEVC is the latest video compression standard, jointly developed by JCT-VC that provides the highest compression efficiency without significant loss in original video source quality. Among all the tools in HEVC encoder, Motion Estimation (ME) is one of the most complex tasks. The present paper analyses the ME algorithm present in HEVC standard reference software and proposes two improvements to the algorithm. Our results show a decrease on the computational complexity by almost 30% with negligible loss in the video quality.Instituto de Telecomunicações2013-05-152013-05-15T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10773/11820engNalluri, PurnachandAlves, Luis NeroNavarro, Antónioinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T03:49:26Zoai:ria.ua.pt:10773/11820Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:47:39.963822Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Fast motion estimation algorithm for HEVC video encoder
title Fast motion estimation algorithm for HEVC video encoder
spellingShingle Fast motion estimation algorithm for HEVC video encoder
Nalluri, Purnachand
Video compression
HEVC
Motion estimation
Video encoder
title_short Fast motion estimation algorithm for HEVC video encoder
title_full Fast motion estimation algorithm for HEVC video encoder
title_fullStr Fast motion estimation algorithm for HEVC video encoder
title_full_unstemmed Fast motion estimation algorithm for HEVC video encoder
title_sort Fast motion estimation algorithm for HEVC video encoder
author Nalluri, Purnachand
author_facet Nalluri, Purnachand
Alves, Luis Nero
Navarro, António
author_role author
author2 Alves, Luis Nero
Navarro, António
author2_role author
author
dc.contributor.author.fl_str_mv Nalluri, Purnachand
Alves, Luis Nero
Navarro, António
dc.subject.por.fl_str_mv Video compression
HEVC
Motion estimation
Video encoder
topic Video compression
HEVC
Motion estimation
Video encoder
description Video compression is required in applications like video network communications, video conference, broadcasting, live streaming and video storage. H.265/HEVC is the latest video compression standard, jointly developed by JCT-VC that provides the highest compression efficiency without significant loss in original video source quality. Among all the tools in HEVC encoder, Motion Estimation (ME) is one of the most complex tasks. The present paper analyses the ME algorithm present in HEVC standard reference software and proposes two improvements to the algorithm. Our results show a decrease on the computational complexity by almost 30% with negligible loss in the video quality.
publishDate 2013
dc.date.none.fl_str_mv 2013-05-15
2013-05-15T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/11820
url http://hdl.handle.net/10773/11820
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto de Telecomunicações
publisher.none.fl_str_mv Instituto de Telecomunicações
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833594069669904384

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