“深入”了解多媒体流媒体

IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Balakrishnan Prabhakaran
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引用次数: 0

摘要

流媒体内容已经成为我们生活中不可或缺的一部分,影响着我们日常消费新闻、与朋友、家人和办公室沟通以及娱乐的方式。随着相机和其他传感技术的进步,多媒体内容的质量得到了突飞猛进的提高。并行,多媒体显示技术的进步同样惊人的负担得起的高清设备提供广阔的选择范围广泛的大小。互联网服务提供商提供的服务质量(QoS)也经历了令人印象深刻的增长。所有这些因素导致了需要在Internet上支持的多媒体流媒体会话的巨大激增。深度机器学习(ML)技术的进步已经成功地用于管理多媒体流的前所未有的使用。然而,随着影响多媒体流的各种因素不断发展,需要不断研究采用新的深度学习技术来实现高效的多媒体流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Taking a “Deep” Look at Multimedia Streaming
Streaming multimedia content has become an integral part of our lives influencing the way we consume daily news, communicate with friends, family and in office, and entertain ourselves. Quality of multimedia content has been improving by leaps and bounds with advances in camera and other sensing technologies. In parallel, advances in multimedia display technologies have been equally amazing providing vast choice of affordable high-definition devices of a wide range of sizes. Quality of service (QoS) offered by Internet service providers has experienced impressive growth as well. All these factors have led to a huge surge on multimedia streaming sessions that need to be supported on the Internet. Advances in deep machine learning (ML) techniques have been successfully leveraged to manage the unprecedented usage of multimedia streaming. However, as the various factors influencing multimedia streaming continue to evolve, continuous research is needed to adopt new deep learning techniques for efficient multimedia streaming.
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来源期刊
IEEE MultiMedia
IEEE MultiMedia 工程技术-计算机:理论方法
CiteScore
6.40
自引率
3.10%
发文量
59
审稿时长
>12 weeks
期刊介绍: The magazine contains technical information covering a broad range of issues in multimedia systems and applications. Articles discuss research as well as advanced practice in hardware/software and are expected to span the range from theory to working systems. Especially encouraged are papers discussing experiences with new or advanced systems and subsystems. To avoid unnecessary overlap with existing publications, acceptable papers must have a significant focus on aspects unique to multimedia systems and applications. These aspects are likely to be related to the special needs of multimedia information compared to other electronic data, for example, the size requirements of digital media and the importance of time in the representation of such media. The following list is not exhaustive, but is representative of the topics that are covered: Hardware and software for media compression, coding & processing; Media representations & standards for storage, editing, interchange, transmission & presentation; Hardware platforms supporting multimedia applications; Operating systems suitable for multimedia applications; Storage devices & technologies for multimedia information; Network technologies, protocols, architectures & delivery techniques intended for multimedia; Synchronization issues; Multimedia databases; Formalisms for multimedia information systems & applications; Programming paradigms & languages for multimedia; Multimedia user interfaces; Media creation integration editing & management; Creation & modification of multimedia applications.
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