HEVC intra prediction acceleration based on texture direction and prediction unit modes reuse

Bibliographic Details
Main Author: Cruz, Luis Alberto da Silva
Publication Date: 2014
Other Authors: Agostini, Luciano Volcan, Silva, Thaísa Leal da
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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spelling 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
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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
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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
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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
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