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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Main Authors: Zhewei Zhang, Tao Jing, Jingning Han, Yaowu Xu, Fan Zhang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
VP9
Online Access:https://ieeexplore.ieee.org/document/7874186/
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spelling 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/
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