Issue 1 • Jan.-March 2019

Purchase of this issue is not available.

Filter Results

Displaying Results 1 - 16 of 16
  • Front Cover

    Publication Year: 2019, Page(s): C1
    Request permission for reuse | PDF file iconPDF (2013 KB)
    Freely Available from IEEE
  • Connect On interface

    Publication Year: 2019, Page(s): C2
    Request permission for reuse | PDF file iconPDF (758 KB)
    Freely Available from IEEE
  • Table of Contents

    Publication Year: 2019, Page(s):1 - 2
    Request permission for reuse | PDF file iconPDF (1984 KB)
    Freely Available from IEEE
  • Masthead

    Publication Year: 2019, Page(s): 3
    Request permission for reuse | PDF file iconPDF (296 KB)
    Freely Available from IEEE
  • IEEE Letters of the Computer Society

    Publication Year: 2019, Page(s): 4
    Request permission for reuse | PDF file iconPDF (1161 KB)
    Freely Available from IEEE
  • Multimedia Deep Learning

    Publication Year: 2019, Page(s):5 - 7
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (72 KB) | HTML iconHTML

    By achieving breakthrough results on domains such as speech recognition, natural language processing, and computer vision, it is no surprise that deep neural networks are receiving a lot of attention these days. Specifically in the field of multimedia data analysis, there is a tremendous amount of multimedia big data that is being generated every day. Deep learning has the potential to overcome th... View full abstract»

    Freely Available from IEEE
  • Guest Editorial 
  • 5G Multimedia Communications: Theory, Technology, and Application

    Publication Year: 2019, Page(s):8 - 9
    Request permission for reuse | PDF file iconPDF (99 KB) | HTML iconHTML
    Freely Available from IEEE
  • Multi-Bitrate Video Caching for D2D-Enabled Cellular Networks

    Publication Year: 2019, Page(s):10 - 20
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (672 KB) | HTML iconHTML

    This paper proposes an architecture for device-to-device (D2D)-enabled cellular networks, which allows multiple user equipment to proactively cache and then share multi-bitrate videos. Furthermore, a proactive caching strategy is put forth to optimize the system utility that strikes a balance between quality-of-experience and cost while considering the coordination of multitype resources. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Edge Caching and Computing in 5G for Mobile AR/VR and Tactile Internet

    Publication Year: 2019, Page(s):21 - 30
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (233 KB) | HTML iconHTML

    As a result of increasing popularity of augmented reality and virtual reality (AR/VR) applications, there are significant efforts to bring AR/VR to mobile users. Parallel to the advances in AR/VR technologies, tactile internet is gaining interest from the research community. Both AR/VR and tactile internet applications require massive computational capability, high communication bandwidth, and ult... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Emotion-Aware Video QoE Assessment Via Transfer Learning

    Publication Year: 2019, Page(s):31 - 40
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (734 KB) | HTML iconHTML

    In this paper, we proposed an emotion-aware video quality of experience (QoE) assessment. Specifically, we first detect the user's emotion via transfer learning. Then, we design a personalized video QoE prediction model. Experiments show that compared to the traditional video QoE assessment, emotion-aware video QoE assessment has higher score. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • QoE-Oriented Multimedia Assessment: A Facial Expression Recognition Approach

    Publication Year: 2019, Page(s):41 - 50
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (565 KB) | HTML iconHTML

    Multimedia services are predominant in current wireless networks and are becoming ubiquitous in the upcoming 5G era in which the video quality of experience (QoE) is a fundamental metric. However, no widely accepted QoE model exists due to its subjective nature. This paper proposes a framework for quantifying the QoE of multimedia content based on the facial expression approach, which can directly... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multipoint Cooperative Transmission for Virtual Reality in 5G New Radio

    Publication Year: 2019, Page(s):51 - 58
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (795 KB) | HTML iconHTML

    To meet the requirements of lower latency and massive data transmission in virtual reality (VR) applications, a multipoint cooperative transmission mechanism is proposed for VR applications over 5G New Radio. In particular, different-quality coding levels are ultilized through the multipoint cooperative transmission to support the immersive experience of users' different views. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Connect On interface

    Publication Year: 2019, Page(s): 59
    Request permission for reuse | PDF file iconPDF (649 KB)
    Freely Available from IEEE
  • Looking for the BEST Tech Job for You?

    Publication Year: 2019, Page(s): 60
    Request permission for reuse | PDF file iconPDF (16417 KB)
    Freely Available from IEEE
  • IEEE Computer Society

    Publication Year: 2019, Page(s): C3
    Request permission for reuse | PDF file iconPDF (43 KB)
    Freely Available from IEEE
  • Call for Award Nominations

    Publication Year: 2019, Page(s): C4
    Request permission for reuse | PDF file iconPDF (917 KB)
    Freely Available from IEEE

Aims & Scope

IEEE MultiMedia contains technical information covering a broad range of issues in multimedia systems and applications.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Shu-Ching Chen
Florida International University
chens@cs.fiu.edu