A Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective

Author:

Dao Nhu-Ngoc1ORCID,Tran Anh-Tien2,Tu Ngo Hoang3,Thanh Tran Thien4,Bao Vo Nguyen Quoc5,Cho Sungrae2

Affiliation:

1. Sejong University, Gwangjin-gu, Seoul, South Korea

2. Chung-Ang University, Dongjak-gu, Seoul, South Korea

3. Seoul National University of Science and Technology, South Korea and Ho Chi Minh City University of Transport, Ho Chi Minh City, Vietnam

4. Ho Chi Minh City University of Transport, Ho Chi Minh City, Vietnam

5. Posts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam

Abstract

Live video streaming services have experienced significant growth since the emergence of social networking paradigms in recent years. In this scenario, adaptive bitrate streaming communications transmitted on web protocols provide a convenient and cost-efficient facility to serve various multimedia platforms over the Internet. In these communication models, video content is delivered optimally, possibly transcoded, edited automatically, and cached temporarily by network elements along the path. To this end, the computational capabilities of various network elements are considered as major resources to be optimized for service quality improvements. This article provides a contemporary survey of cutting-edge live video streaming studies from a computation-driven perspective. First, an overview of the global standards, system architectures, and streaming protocols is presented. Next, hierarchical computation-driven models of live video streaming are anatomized, including cloud-, edge-, and peer-to-peer-based solutions. Cutting-edge studies are then reviewed to discover the advances they have made in improving system performance in multiple areas. Finally, open challenges are presented to direct future research in this field.

Funder

National Research Foundation of Korea (NRF) grant funded by the Korea government

National Research Foundation of Korea

Vietnam National Foundation for Science and Technology Development

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference192 articles.

1. Flowplayer AB. 2022. Flowplayer: The Performance First Online Video Platform. Retrieved January 11 2022 from https://flowplayer.com/.

2. Survey of Transportation of Adaptive Multimedia Streaming service in Internet

3. Adobe System Inc.2021. HTTP Dynamic Streaming. Retrieved March 12, 2022 from https://www.adobe.com/products/hds-dynamic-streaming.html.

4. A holistic survey of wireless multipath video streaming;Afzal Samira;arXiv preprint arXiv:1906.06184,2019

5. Suffering from buffering? Detecting QoE impairments in live video streams

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Video data offloading techniques in Mobile Edge Computing: A survey;Physical Communication;2024-02

2. Enabling Secure and Flexible Streaming Media With Blockchain Incentive;IEEE Internet of Things Journal;2024-01-15

3. Improving QoS in mobile multimedia streaming with SCTP-PQ;Acta Polytechnica;2023-11-07

4. Community-Based QoE Enhancement for User-Generated Content Live Streaming;2023 13th International Conference on Computer and Knowledge Engineering (ICCKE);2023-11-01

5. An Intelligent Learning Approach to Achieve Near-Second Low-Latency Live Video Streaming under Highly Fluctuating Networks;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3