Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder

The proportion of video traffic on the internet is expected to reach 82% by 2022, mainly due to the increasing number of consumers and the emergence of new video formats with more demanding features (depth, resolution, multiview, 360, etc.). Efforts are therefore being made to constantly improve vid...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Héctor Migallón, Otoniel López-Granado, Miguel O. Martínez-Rach, Vicente Galiano, Manuel P. Malumbres
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	JEM video coding standards JEM slices JEM parallel OpenMP Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/95ba350d1b7a45b3b8bf0b8941a66ed4
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:95ba350d1b7a45b3b8bf0b8941a66ed4
record_format	dspace
spelling	oai:doaj.org-article:95ba350d1b7a45b3b8bf0b8941a66ed42021-11-25T16:13:09ZLoad Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder10.3390/a141103201999-4893https://doaj.org/article/95ba350d1b7a45b3b8bf0b8941a66ed42021-11-01T00:00:00Zhttps://www.mdpi.com/1999-4893/14/11/320https://doaj.org/toc/1999-4893The proportion of video traffic on the internet is expected to reach 82% by 2022, mainly due to the increasing number of consumers and the emergence of new video formats with more demanding features (depth, resolution, multiview, 360, etc.). Efforts are therefore being made to constantly improve video compression standards to minimize the necessary bandwidth while retaining high video quality levels. In this context, the Joint Collaborative Team on Video Coding has been analyzing new video coding technologies to improve the compression efficiency with respect to the HEVC video coding standard. A software package known as the Joint Exploration Test Model has been proposed to implement and evaluate new video coding tools. In this work, we present parallel versions of the JEM encoder that are particularly suited for shared memory platforms, and can significantly reduce its huge computational complexity. The proposed parallel algorithms are shown to achieve high levels of parallel efficiency. In particular, in the All Intra coding mode, the best of our proposed parallel versions achieves an average efficiency value of 93.4%. They also had high levels of scalability, as shown by the inclusion of an automatic load balancing mechanism.Héctor MigallónOtoniel López-GranadoMiguel O. Martínez-RachVicente GalianoManuel P. MalumbresMDPI AGarticleJEMvideo coding standardsJEM slicesJEM parallelOpenMPIndustrial engineering. Management engineeringT55.4-60.8Electronic computers. Computer scienceQA75.5-76.95ENAlgorithms, Vol 14, Iss 320, p 320 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	JEM video coding standards JEM slices JEM parallel OpenMP Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95
spellingShingle	JEM video coding standards JEM slices JEM parallel OpenMP Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95 Héctor Migallón Otoniel López-Granado Miguel O. Martínez-Rach Vicente Galiano Manuel P. Malumbres Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder
description	The proportion of video traffic on the internet is expected to reach 82% by 2022, mainly due to the increasing number of consumers and the emergence of new video formats with more demanding features (depth, resolution, multiview, 360, etc.). Efforts are therefore being made to constantly improve video compression standards to minimize the necessary bandwidth while retaining high video quality levels. In this context, the Joint Collaborative Team on Video Coding has been analyzing new video coding technologies to improve the compression efficiency with respect to the HEVC video coding standard. A software package known as the Joint Exploration Test Model has been proposed to implement and evaluate new video coding tools. In this work, we present parallel versions of the JEM encoder that are particularly suited for shared memory platforms, and can significantly reduce its huge computational complexity. The proposed parallel algorithms are shown to achieve high levels of parallel efficiency. In particular, in the All Intra coding mode, the best of our proposed parallel versions achieves an average efficiency value of 93.4%. They also had high levels of scalability, as shown by the inclusion of an automatic load balancing mechanism.
format	article
author	Héctor Migallón Otoniel López-Granado Miguel O. Martínez-Rach Vicente Galiano Manuel P. Malumbres
author_facet	Héctor Migallón Otoniel López-Granado Miguel O. Martínez-Rach Vicente Galiano Manuel P. Malumbres
author_sort	Héctor Migallón
title	Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder
title_short	Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder
title_full	Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder
title_fullStr	Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder
title_full_unstemmed	Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder
title_sort	load balancing strategies for slice-based parallel versions of jem video encoder
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/95ba350d1b7a45b3b8bf0b8941a66ed4
work_keys_str_mv	AT hectormigallon loadbalancingstrategiesforslicebasedparallelversionsofjemvideoencoder AT otoniellopezgranado loadbalancingstrategiesforslicebasedparallelversionsofjemvideoencoder AT miguelomartinezrach loadbalancingstrategiesforslicebasedparallelversionsofjemvideoencoder AT vicentegaliano loadbalancingstrategiesforslicebasedparallelversionsofjemvideoencoder AT manuelpmalumbres loadbalancingstrategiesforslicebasedparallelversionsofjemvideoencoder
_version_	1718413270025502720

Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder

Ejemplares similares