HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse
Main Author: | |
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Publication Date: | 2014 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/10316/102622 https://doi.org/10.1017/ATSIP.2014.14 |
Summary: | The new High Efficiency Video Coding (HEVC) standard achieves higher encoding efficiency when compared to its predecessors such as H.264/AVC. One of the factors responsible for this improvement is the new intra prediction method, which introduces a larger number of prediction directions resulting in an enhanced rate-distortion (RD) performance obtained at the cost of higher computational complexity. This paper proposes an algorithm to accelerate the intra mode decision, reducing the complexity of intra coding. The acceleration procedure takes into account the texture local directionality information and explores the correlation of intra modes across levels of the hierarchical tree structure used in HEVC. Experimental results show that the proposed algorithm provides a decrease of 39.22 and 43.88 in the HEVC intra prediction processing time on average, for allintra high efficiency (AI-HE) and low complexity (AI-LC) configurations, respectively, with a small degradation in encoding efficiency (BD-PSNR loss of 0.1 dB for AI-HE and 0.8 dB for AI-LC on average). |
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HEVC intra prediction acceleration based on texture direction and prediction unit modes reuseIntra predictionHEVCComputational complexityEdge orientationInter-levels correlationThe new High Efficiency Video Coding (HEVC) standard achieves higher encoding efficiency when compared to its predecessors such as H.264/AVC. One of the factors responsible for this improvement is the new intra prediction method, which introduces a larger number of prediction directions resulting in an enhanced rate-distortion (RD) performance obtained at the cost of higher computational complexity. This paper proposes an algorithm to accelerate the intra mode decision, reducing the complexity of intra coding. The acceleration procedure takes into account the texture local directionality information and explores the correlation of intra modes across levels of the hierarchical tree structure used in HEVC. Experimental results show that the proposed algorithm provides a decrease of 39.22 and 43.88 in the HEVC intra prediction processing time on average, for allintra high efficiency (AI-HE) and low complexity (AI-LC) configurations, respectively, with a small degradation in encoding efficiency (BD-PSNR loss of 0.1 dB for AI-HE and 0.8 dB for AI-LC on average).2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://hdl.handle.net/10316/102622https://hdl.handle.net/10316/102622https://doi.org/10.1017/ATSIP.2014.14eng2048-77032048-7703Cruz, Luis Alberto da SilvaAgostini, Luciano VolcanSilva, Thaísa Leal dainfo: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:RCAAP2022-10-04T20:31:43Zoai:estudogeral.uc.pt:10316/102622Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:52:13.442181Repositórios 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 |
HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse |
title |
HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse |
spellingShingle |
HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse Cruz, Luis Alberto da Silva Intra prediction HEVC Computational complexity Edge orientation Inter-levels correlation |
title_short |
HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse |
title_full |
HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse |
title_fullStr |
HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse |
title_full_unstemmed |
HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse |
title_sort |
HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse |
author |
Cruz, Luis Alberto da Silva |
author_facet |
Cruz, Luis Alberto da Silva Agostini, Luciano Volcan Silva, Thaísa Leal da |
author_role |
author |
author2 |
Agostini, Luciano Volcan Silva, Thaísa Leal da |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Cruz, Luis Alberto da Silva Agostini, Luciano Volcan Silva, Thaísa Leal da |
dc.subject.por.fl_str_mv |
Intra prediction HEVC Computational complexity Edge orientation Inter-levels correlation |
topic |
Intra prediction HEVC Computational complexity Edge orientation Inter-levels correlation |
description |
The new High Efficiency Video Coding (HEVC) standard achieves higher encoding efficiency when compared to its predecessors such as H.264/AVC. One of the factors responsible for this improvement is the new intra prediction method, which introduces a larger number of prediction directions resulting in an enhanced rate-distortion (RD) performance obtained at the cost of higher computational complexity. This paper proposes an algorithm to accelerate the intra mode decision, reducing the complexity of intra coding. The acceleration procedure takes into account the texture local directionality information and explores the correlation of intra modes across levels of the hierarchical tree structure used in HEVC. Experimental results show that the proposed algorithm provides a decrease of 39.22 and 43.88 in the HEVC intra prediction processing time on average, for allintra high efficiency (AI-HE) and low complexity (AI-LC) configurations, respectively, with a small degradation in encoding efficiency (BD-PSNR loss of 0.1 dB for AI-HE and 0.8 dB for AI-LC on average). |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10316/102622 https://hdl.handle.net/10316/102622 https://doi.org/10.1017/ATSIP.2014.14 |
url |
https://hdl.handle.net/10316/102622 https://doi.org/10.1017/ATSIP.2014.14 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2048-7703 2048-7703 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
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1833602501031493632 |