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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10098671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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