检索结果-南通市图书馆

A Content-Aware bitrate Selection Method Using Multi-Step Prediction for 360-Degree Video Streaming

ZTE Communications 2022年第4期20卷 96-109页

作者： GAO Nianzhen YU Yifang HUA Xinhai FENG Fangzheng JIANG Tao Huazhong University of Science and Technology Wuhan 430074China ZTE Corporation Shenzhen 518057China

A content-aware multi-step prediction control(CAMPC)algorithm is proposed to determine the bitrate of 360-degree videos,aim⁃ing to enhance the quality of experience(QoE)of users and reduce the cost of video content providers(VCP).The CAMPC algorithm first em⁃ploys a neural network to generate the content richness and combines it with the current field of view(FOV)to accurately predict the probability distribution of tiles being ***,for the tiles in the predicted viewport which directly affect QoE,the CAMPC algorithm utilizes a multi-step prediction for future system states,and accordingly selects the bitrates of multiple subsequent steps,instead of an instantaneous ***,it controls the buffer occupancy to eliminate the impact of prediction *** implement CAMPC on players by building a 360-degree video streaming platform and evaluating other advanced adaptive bitrate(ABR)rules through the real *** results show that CAMPC can save 83.5%of bandwidth resources compared with the scheme that completely transmits the tiles outside the viewport with the Dynamic Adaptive Streaming over HTTP(DASH)***,the proposed method can improve the system utility by 62.7%and 27.6%compared with the DASH official and viewport-based rules,respectively.

关键词： DASH content-aware FOV prediction bitrate adaptation multi-step prediction generalized predictive control

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Energy efficient fuzzy-based DASH adaptation algorithm

引用

Digital Communications and Networks 2021年第1期7卷 113-119页

作者： Moad Mowafi Eyad Taqieddin Hiba Al-Dahoud Department of Network Engineering and Security Jordan University of Science and TechnologyIrbid22110Jordan

With the expansive demand for video streaming over mobile networks,it is necessary to adopt schemes that balance the need for high video quality with the available network resources when streaming or downloading the *** approaches were proposed in the literature,including Dynamic Adaptive Streaming over HTTP(DASH).In this work,we consider an approach in which we place sufficient emphasis on the constrained battery resources in mobile devices when making decisions on the quality(or bitrate)of the video to be *** is done by using a fuzzy logic controller that enhances the performance of the Fuzzy-based DASH(FDASH)*** results show that our proposed approach conserves more energy than its predecessor while maintaining similar video quality and avoiding playback interruptions.

关键词： DASH bitrate adaptation Energy Throughput Buffer

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Dynamic Adaptive Streaming Control based on Deep Reinforcement Learning in Named Data Networking

Dynamic Adaptive Streaming Control based on Deep Reinforceme...

引用

第37届中国控制会议

作者： Shengyan Qiu Xiaobin Tan Jin Zhu Department of Automation of University of Science and Technology of China Laboratory for Future Networks University of Science and Technology of China

Named Data Networking（NDN） is a general proposed network layer protocol which offers a set of rich functionality:in-network storage, multi-path forwarding, and data-centric security. The cache and multi-path feature improves the efficiency of transmission but increases the difficulty of the bandwidth *** dynamic adaptive streaming,video of different quality is segmented in server,clients could select the most appropriate segment to download due to the network *** this paper, a deep reinforcement learning method is proposed for dynamic adaptive video streaming over NDN to maximum user-perceived qualityof-experience（Qo E）.As a model-free method,our algorithm doesn’t need accurate bandwidth *** can use all kinds of information during the video playback process to make a sensitive *** results indicate that our algorithm performs better than others in NDN.

关键词： Named Data Networking Dynamic Adaptive Streaming bitrate adaptation Deep Reinforcement Learning

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：