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Learning-Based Rate Control for High Efficiency Video Coding

High efficiency video coding (HEVC) has dramatically enhanced coding efficiency compared to the previous video coding standard, H.264/AVC. However, the existing rate control updates its parameters according to a fixed initialization, which can cause errors in the prediction of bit allocation to each...

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Detalles Bibliográficos
Autores principales: Chen, Sovann, Aramvith, Supavadee, Miyanaga, Yoshikazu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098671/
https://www.ncbi.nlm.nih.gov/pubmed/37050667
http://dx.doi.org/10.3390/s23073607
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author Chen, Sovann
Aramvith, Supavadee
Miyanaga, Yoshikazu
author_facet Chen, Sovann
Aramvith, Supavadee
Miyanaga, Yoshikazu
author_sort Chen, Sovann
collection PubMed
description High efficiency video coding (HEVC) has dramatically enhanced coding efficiency compared to the previous video coding standard, H.264/AVC. However, the existing rate control updates its parameters according to a fixed initialization, which can cause errors in the prediction of bit allocation to each coding tree unit (CTU) in frames. This paper proposes a learning-based mapping method between rate control parameters and video contents to achieve an accurate target bit rate and good video quality. The proposed framework contains two main structural codings, including spatial and temporal coding. We initiate an effective learning-based particle swarm optimization for spatial and temporal coding to determine the optimal parameters at the CTU level. For temporal coding at the picture level, we introduce semantic residual information into the parameter updating process to regulate the bit correctly on the actual picture. Experimental results indicate that the proposed algorithm is effective for HEVC and outperforms the state-of-the-art rate control in the HEVC reference software (HM-16.10) by 0.19 dB on average and up to 0.41 dB for low-delay P coding structure.
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spelling pubmed-100986712023-04-14 Learning-Based Rate Control for High Efficiency Video Coding Chen, Sovann Aramvith, Supavadee Miyanaga, Yoshikazu Sensors (Basel) Article High efficiency video coding (HEVC) has dramatically enhanced coding efficiency compared to the previous video coding standard, H.264/AVC. However, the existing rate control updates its parameters according to a fixed initialization, which can cause errors in the prediction of bit allocation to each coding tree unit (CTU) in frames. This paper proposes a learning-based mapping method between rate control parameters and video contents to achieve an accurate target bit rate and good video quality. The proposed framework contains two main structural codings, including spatial and temporal coding. We initiate an effective learning-based particle swarm optimization for spatial and temporal coding to determine the optimal parameters at the CTU level. For temporal coding at the picture level, we introduce semantic residual information into the parameter updating process to regulate the bit correctly on the actual picture. Experimental results indicate that the proposed algorithm is effective for HEVC and outperforms the state-of-the-art rate control in the HEVC reference software (HM-16.10) by 0.19 dB on average and up to 0.41 dB for low-delay P coding structure. MDPI 2023-03-30 /pmc/articles/PMC10098671/ /pubmed/37050667 http://dx.doi.org/10.3390/s23073607 Text en © 2023 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
Chen, Sovann
Aramvith, Supavadee
Miyanaga, Yoshikazu
Learning-Based Rate Control for High Efficiency Video Coding
title Learning-Based Rate Control for High Efficiency Video Coding
title_full Learning-Based Rate Control for High Efficiency Video Coding
title_fullStr Learning-Based Rate Control for High Efficiency Video Coding
title_full_unstemmed Learning-Based Rate Control for High Efficiency Video Coding
title_short Learning-Based Rate Control for High Efficiency Video Coding
title_sort learning-based rate control for high efficiency video coding
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098671/
https://www.ncbi.nlm.nih.gov/pubmed/37050667
http://dx.doi.org/10.3390/s23073607
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