Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of Interest

Aiming at the problems that the strategy of target bit allocation at the CTU layer has deviations from the human subjective observation mechanism, and the update phase of parametric model has a higher complexity in the JCTVC-K0103 rate control algorithm of ITU-T H.265/high efficiency video coding (H...

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Main Authors: Renjie Song, Yuandong Zhang
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2020/4354296
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spelling doaj-e26d111d26124b70892020e65726cf372021-07-02T12:25:55ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552020-01-01202010.1155/2020/43542964354296Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of InterestRenjie Song0Yuandong Zhang1School of Computer Science, Northeast Electric Power University, Jilin 132012, ChinaSchool of Computer Science, Northeast Electric Power University, Jilin 132012, ChinaAiming at the problems that the strategy of target bit allocation at the CTU layer has deviations from the human subjective observation mechanism, and the update phase of parametric model has a higher complexity in the JCTVC-K0103 rate control algorithm of ITU-T H.265/high efficiency video coding (HEVC) standard. Optimized rate control (ORC) algorithm of ITU-T H.265/HEVC based on region of interest (ROI) is proposed. Firstly, the algorithm extracts the region of interest of video frames based on time and space domains by using the improved Itti model. Then, the weight of target bits w is recalculated based on space-time domains to improve the rate control accuracy, and the target bits are distributed based on ROI by the adaptive weight algorithm once again to make the output videos more attuned with the human visual attention mechanism. Finally, the quasi-Newton algorithm is used to update the rate distortion model, which reduces the computational complexity in the update phase of the parametric model. The experimental results show that the ORC algorithm can obtain a better subjective quality in the compressed results with less bit error compared with the other two algorithms. Meanwhile, the rate distortion performance of the ORC algorithm is better on the premise of guaranteeing rate control performance.http://dx.doi.org/10.1155/2020/4354296
collection DOAJ
language English
format Article
sources DOAJ
author Renjie Song
Yuandong Zhang
spellingShingle Renjie Song
Yuandong Zhang
Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of Interest
Journal of Electrical and Computer Engineering
author_facet Renjie Song
Yuandong Zhang
author_sort Renjie Song
title Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of Interest
title_short Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of Interest
title_full Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of Interest
title_fullStr Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of Interest
title_full_unstemmed Optimized Rate Control Algorithm of High-Efficiency Video Coding Based on Region of Interest
title_sort optimized rate control algorithm of high-efficiency video coding based on region of interest
publisher Hindawi Limited
series Journal of Electrical and Computer Engineering
issn 2090-0147
2090-0155
publishDate 2020-01-01
description Aiming at the problems that the strategy of target bit allocation at the CTU layer has deviations from the human subjective observation mechanism, and the update phase of parametric model has a higher complexity in the JCTVC-K0103 rate control algorithm of ITU-T H.265/high efficiency video coding (HEVC) standard. Optimized rate control (ORC) algorithm of ITU-T H.265/HEVC based on region of interest (ROI) is proposed. Firstly, the algorithm extracts the region of interest of video frames based on time and space domains by using the improved Itti model. Then, the weight of target bits w is recalculated based on space-time domains to improve the rate control accuracy, and the target bits are distributed based on ROI by the adaptive weight algorithm once again to make the output videos more attuned with the human visual attention mechanism. Finally, the quasi-Newton algorithm is used to update the rate distortion model, which reduces the computational complexity in the update phase of the parametric model. The experimental results show that the ORC algorithm can obtain a better subjective quality in the compressed results with less bit error compared with the other two algorithms. Meanwhile, the rate distortion performance of the ORC algorithm is better on the premise of guaranteeing rate control performance.
url http://dx.doi.org/10.1155/2020/4354296
work_keys_str_mv AT renjiesong optimizedratecontrolalgorithmofhighefficiencyvideocodingbasedonregionofinterest
AT yuandongzhang optimizedratecontrolalgorithmofhighefficiencyvideocodingbasedonregionofinterest
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