Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo

The advent of new technologies such as high dynamic range or 8K screens has enhanced the quality of digital images but it has also increased the codecs' computational demands to process such data. This paper presents a video codec that, while providing the same coding features and performance a...

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Autores: de Cea Dominguez, Carlos|||0000-0002-0868-6479, Moure, Juan C.|||0000-0001-6697-0331, Bartrina-Rapesta, Joan|||0000-0002-1551-3680, Aulí Llinàs, Francesc|||0000-0002-3208-9957
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:250686
Acceso en línea:https://ddd.uab.cat/record/250686
https://dx.doi.org/urn:doi:10.1016/j.image.2021.116503
Access Level:acceso abierto
Palabra clave:High throughput image and video coding
GPU
CUDA
JPEG2000
HTJ2K
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network_acronym_str ES
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spelling Real-time 16K video coding on a GPU with complexity scalable BPC-PaCode Cea Dominguez, Carlos|||0000-0002-0868-6479Moure, Juan C.|||0000-0001-6697-0331Bartrina-Rapesta, Joan|||0000-0002-1551-3680Aulí Llinàs, Francesc|||0000-0002-3208-9957High throughput image and video codingGPUCUDAJPEG2000HTJ2KThe advent of new technologies such as high dynamic range or 8K screens has enhanced the quality of digital images but it has also increased the codecs' computational demands to process such data. This paper presents a video codec that, while providing the same coding features and performance as those of JPEG2000, can process 16K video in real time using a consumer-grade GPU. This high throughput is achieved with a technique that introduces complexity scalability to a bitplane coding engine, which is the most computationally complex stage of the coding pipeline. The resulting codec can trade throughput for coding performance depending on the user's needs. Experimental results suggest that our method can double the throughput achieved by CPU implementations of the recently approved High-Throughput JPEG2000 and by hardwired implementations of HEVC in a GPU. 22021-01-0120212021-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/250686https://dx.doi.org/urn:doi:10.1016/j.image.2021.116503reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 TIN2017-84553-C2-1-RAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 RTI2018-095287-B-I00Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-313Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-463open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2506862026-06-06T12:50:31Z
dc.title.none.fl_str_mv Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo
title Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo
spellingShingle Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo
de Cea Dominguez, Carlos|||0000-0002-0868-6479
High throughput image and video coding
GPU
CUDA
JPEG2000
HTJ2K
title_short Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo
title_full Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo
title_fullStr Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo
title_full_unstemmed Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo
title_sort Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo
dc.creator.none.fl_str_mv de Cea Dominguez, Carlos|||0000-0002-0868-6479
Moure, Juan C.|||0000-0001-6697-0331
Bartrina-Rapesta, Joan|||0000-0002-1551-3680
Aulí Llinàs, Francesc|||0000-0002-3208-9957
author de Cea Dominguez, Carlos|||0000-0002-0868-6479
author_facet de Cea Dominguez, Carlos|||0000-0002-0868-6479
Moure, Juan C.|||0000-0001-6697-0331
Bartrina-Rapesta, Joan|||0000-0002-1551-3680
Aulí Llinàs, Francesc|||0000-0002-3208-9957
author_role author
author2 Moure, Juan C.|||0000-0001-6697-0331
Bartrina-Rapesta, Joan|||0000-0002-1551-3680
Aulí Llinàs, Francesc|||0000-0002-3208-9957
author2_role author
author
author
dc.subject.none.fl_str_mv High throughput image and video coding
GPU
CUDA
JPEG2000
HTJ2K
topic High throughput image and video coding
GPU
CUDA
JPEG2000
HTJ2K
description The advent of new technologies such as high dynamic range or 8K screens has enhanced the quality of digital images but it has also increased the codecs' computational demands to process such data. This paper presents a video codec that, while providing the same coding features and performance as those of JPEG2000, can process 16K video in real time using a consumer-grade GPU. This high throughput is achieved with a technique that introduces complexity scalability to a bitplane coding engine, which is the most computationally complex stage of the coding pipeline. The resulting codec can trade throughput for coding performance depending on the user's needs. Experimental results suggest that our method can double the throughput achieved by CPU implementations of the recently approved High-Throughput JPEG2000 and by hardwired implementations of HEVC in a GPU.
publishDate 2021
dc.date.none.fl_str_mv 2
2021-01-01
2021
2021-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/250686
https://dx.doi.org/urn:doi:10.1016/j.image.2021.116503
url https://ddd.uab.cat/record/250686
https://dx.doi.org/urn:doi:10.1016/j.image.2021.116503
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 TIN2017-84553-C2-1-R
Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 RTI2018-095287-B-I00
Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-313
Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-463
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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