A New Rate Control Scheme For Video Coding Based On Region Of Interest
The quality fluctuation of video is significant in human visual system, and thus, many rate control schemes are widely developed in the area of video communication. In recent years, researchers show more interests in region of interest (ROI)-based encoding, and it is widely applied in the latest vid...
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doaj-9adcb3bd7c39451793c04de4b2e6aded2021-03-29T20:14:50ZengIEEEIEEE Access2169-35362017-01-015136771368810.1109/ACCESS.2017.26761257874186A New Rate Control Scheme For Video Coding Based On Region Of InterestZhewei Zhang0Tao Jing1Jingning Han2Yaowu Xu3Fan Zhang4School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, ChinaGoogle Inc., Mountain View, CA, USAGoogle Inc., Mountain View, CA, USASchool of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, ChinaThe quality fluctuation of video is significant in human visual system, and thus, many rate control schemes are widely developed in the area of video communication. In recent years, researchers show more interests in region of interest (ROI)-based encoding, and it is widely applied in the latest video codecs, such as HEVC and VP9. This paper presents a new rate control scheme for ROI mode coding based on discrete fourier transform coefficient model and radial basis function neuron network. A new R-D model is proposed by classifying blocks into different depth, ROI groups, and so on. Then, rate and distortion are described based on the Laplacian distribution model using mathematical ways. A machine learning approach is induced to enhance the accuracy of the distortion estimation. By utilizing the new R-D model, a new rate control scheme is designed for ROI mode coding from the group of picture layer to coding unit layer. By comparisons with other rate control approaches, the proposed one has a better result in terms of visual quality, R-D performance, bitrate accuracy, and so on. Hence, it outperforms the conventional schemes especially for sequences with obvious ROI details.https://ieeexplore.ieee.org/document/7874186/Video codingVP9HEVCregion of interestrate controlLaplacian distribution model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhewei Zhang Tao Jing Jingning Han Yaowu Xu Fan Zhang |
spellingShingle |
Zhewei Zhang Tao Jing Jingning Han Yaowu Xu Fan Zhang A New Rate Control Scheme For Video Coding Based On Region Of Interest IEEE Access Video coding VP9 HEVC region of interest rate control Laplacian distribution model |
author_facet |
Zhewei Zhang Tao Jing Jingning Han Yaowu Xu Fan Zhang |
author_sort |
Zhewei Zhang |
title |
A New Rate Control Scheme For Video Coding Based On Region Of Interest |
title_short |
A New Rate Control Scheme For Video Coding Based On Region Of Interest |
title_full |
A New Rate Control Scheme For Video Coding Based On Region Of Interest |
title_fullStr |
A New Rate Control Scheme For Video Coding Based On Region Of Interest |
title_full_unstemmed |
A New Rate Control Scheme For Video Coding Based On Region Of Interest |
title_sort |
new rate control scheme for video coding based on region of interest |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2017-01-01 |
description |
The quality fluctuation of video is significant in human visual system, and thus, many rate control schemes are widely developed in the area of video communication. In recent years, researchers show more interests in region of interest (ROI)-based encoding, and it is widely applied in the latest video codecs, such as HEVC and VP9. This paper presents a new rate control scheme for ROI mode coding based on discrete fourier transform coefficient model and radial basis function neuron network. A new R-D model is proposed by classifying blocks into different depth, ROI groups, and so on. Then, rate and distortion are described based on the Laplacian distribution model using mathematical ways. A machine learning approach is induced to enhance the accuracy of the distortion estimation. By utilizing the new R-D model, a new rate control scheme is designed for ROI mode coding from the group of picture layer to coding unit layer. By comparisons with other rate control approaches, the proposed one has a better result in terms of visual quality, R-D performance, bitrate accuracy, and so on. Hence, it outperforms the conventional schemes especially for sequences with obvious ROI details. |
topic |
Video coding VP9 HEVC region of interest rate control Laplacian distribution model |
url |
https://ieeexplore.ieee.org/document/7874186/ |
work_keys_str_mv |
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