Soft Delivery: Survey on a New Paradigm for Wireless and Mobile Multimedia Streaming

Author:

Fujihashi Takuya1ORCID,Koike-Akino Toshiaki2ORCID,Watanabe Takashi1ORCID

Affiliation:

1. Osaka University, Japan

2. Mitsubishi Electric Research Laboratories (MERL), USA

Abstract

The increasing demand for video streaming services is the key driver of modern wireless and mobile communications. Although many studies have designed digital-based delivery schemes to send video content over wireless and mobile networks, significant quality degradation, known as cliff and leveling effects, often occurs owing to fluctuating channel characteristics. In this article, we present a comprehensive summary of soft delivery, which is a new paradigm for wireless and mobile video streaming and discuss the future directions of soft delivery. Existing studies found that introducing multi-dimensional cosine transform, human vision system, and graph signal processing can make soft delivery schemes more effective in untethered immersive experiences, including virtual reality and volumetric media, than digital-based delivery schemes. In addition, this study finds that soft delivery has the potential to be a new standard to deliver deep neural network models and tactile information over wireless and mobile networks.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference229 articles.

1. Ericsson. 2022. Ericsson Mobility Report .

2. Dan Grois, Detlev Marpe, Amit Mulayoff, Benaya Itzhaky, and Ofer Hadar. 2013. Performance comparison of H.265/MPEG-HEVC, VP9, and H.264/MPEG-AVC encoders. In Proceedings of the IEEE Picture Coding Symposium. 394–397.

3. Emerging MPEG Standards for Point Cloud Compression

4. An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC)

5. Igor Kozintsev and Kannan Ramchandran. 1997. A wavelet zerotree-based hybrid compressed/uncompressed framework for wireless image transmission. In Proceedings of the 31st Asilomar Conference on Signals, Systems, and Computers, Vol. 2. 1023–1027.

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