Cargando…

Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding

Versatile video coding (VVC) adopts an advanced quad-tree plus multi-type tree (QTMT) coding structure to obtain higher compression efficiency, but it comes at the cost of a considerable increase in coding complexity. To effectively reduce the coding complexity of the QTMT-based coding unit (CU) par...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yue, Luo, Fei, Zhu, Yapei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606901/
https://www.ncbi.nlm.nih.gov/pubmed/36298092
http://dx.doi.org/10.3390/s22207741
_version_ 1784818405773148160
author Li, Yue
Luo, Fei
Zhu, Yapei
author_facet Li, Yue
Luo, Fei
Zhu, Yapei
author_sort Li, Yue
collection PubMed
description Versatile video coding (VVC) adopts an advanced quad-tree plus multi-type tree (QTMT) coding structure to obtain higher compression efficiency, but it comes at the cost of a considerable increase in coding complexity. To effectively reduce the coding complexity of the QTMT-based coding unit (CU) partition, we propose a fast inter CU partition method based on a temporal prediction model, which includes early termination QTMT partition and early skipping multi-type tree (MT) partition. Firstly, according to the position of the current CU, we extract the optimal CU partition information of the position corresponding to the previously coded frames. We then establish a temporal prediction model based on temporal CU partition information to predict the current CU partition. Finally, to reduce the cumulative of errors of the temporal prediction model, we further extract the motion vector difference (MVD) of the CU to determine whether the QTMT partition can be terminated early. The experimental results show that the proposed method can reduce the inter coding complexity of VVC by 23.19% on average, while the Bjontegaard delta bit rate (BDBR) is only increased by 0.97% on average under the Random Access (RA) configuration.
format Online
Article
Text
id pubmed-9606901
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96069012022-10-28 Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding Li, Yue Luo, Fei Zhu, Yapei Sensors (Basel) Article Versatile video coding (VVC) adopts an advanced quad-tree plus multi-type tree (QTMT) coding structure to obtain higher compression efficiency, but it comes at the cost of a considerable increase in coding complexity. To effectively reduce the coding complexity of the QTMT-based coding unit (CU) partition, we propose a fast inter CU partition method based on a temporal prediction model, which includes early termination QTMT partition and early skipping multi-type tree (MT) partition. Firstly, according to the position of the current CU, we extract the optimal CU partition information of the position corresponding to the previously coded frames. We then establish a temporal prediction model based on temporal CU partition information to predict the current CU partition. Finally, to reduce the cumulative of errors of the temporal prediction model, we further extract the motion vector difference (MVD) of the CU to determine whether the QTMT partition can be terminated early. The experimental results show that the proposed method can reduce the inter coding complexity of VVC by 23.19% on average, while the Bjontegaard delta bit rate (BDBR) is only increased by 0.97% on average under the Random Access (RA) configuration. MDPI 2022-10-12 /pmc/articles/PMC9606901/ /pubmed/36298092 http://dx.doi.org/10.3390/s22207741 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Yue
Luo, Fei
Zhu, Yapei
Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding
title Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding
title_full Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding
title_fullStr Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding
title_full_unstemmed Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding
title_short Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding
title_sort temporal prediction model-based fast inter cu partition for versatile video coding
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606901/
https://www.ncbi.nlm.nih.gov/pubmed/36298092
http://dx.doi.org/10.3390/s22207741
work_keys_str_mv AT liyue temporalpredictionmodelbasedfastintercupartitionforversatilevideocoding
AT luofei temporalpredictionmodelbasedfastintercupartitionforversatilevideocoding
AT zhuyapei temporalpredictionmodelbasedfastintercupartitionforversatilevideocoding