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IEEE MultiMedia

Issue 4 • Oct.-Dec. 2016

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Displaying Results 1 - 23 of 23
  • Front Cover 
  • Front Covers

    Publication Year: 2016, Page(s): c1
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  • IEEE Computer Society is where you Choose the Resources that Fit your Career House Advertisement

    Publication Year: 2016, Page(s): c2
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  • New Membership Options for a Better Fit House Advertisement

    Publication Year: 2016, Page(s): 1
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  • Table of Contents 
  • Table of Contents

    Publication Year: 2016, Page(s):2 - 3
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  • EIC's Message 
  • Understanding Humans in Multimedia

    Publication Year: 2016, Page(s):4 - 5
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  • Research Projects 
  • Eye-Controlled Interfaces for Multimedia Interaction

    Publication Year: 2016, Page(s):6 - 13
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (713 KB) | HTML iconHTML

    The EU-funded MAMEM project (Multimedia Authoring and Management using your Eyes and Mind) aims to propose a framework for natural interaction with multimedia information for users who lack fine motor skills. As part of this project, the authors have developed a gaze-based control paradigm. Here, they outline the challenges of eye-controlled interaction with multimedia information and present init... View full abstract»

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  • Industry and Standards 
  • JPEG Pleno: Toward an Efficient Representation of Visual Reality

    Publication Year: 2016, Page(s):14 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (417 KB) | HTML iconHTML

    In discussing the rationale behind the vision for JPEG Pleno and how the new standardization initiative aims to reinvent the future of imaging, the authors review plenoptic representation and its underlying practical implications and challenges in implementing real-world applications with an enhanced quality of experience. View full abstract»

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  • Call for Papers: Cybersecurity for Cyber-Enabled Multimedia Applications House Advertisement

    Publication Year: 2016, Page(s): 21
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  • Image, Audio, and Social Multimedia Computing 
  • Nonparametric Quality Assessment of Natural Images

    Publication Year: 2016, Page(s):22 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (470 KB) | HTML iconHTML

    In this article, the authors explore an alternative way to perform no-reference image quality assessment (NR-IQA). Following a feature extraction stage in which spatial domain statistics are utilized as features, a two-stage nonparametric NR-IQA framework is proposed. This approach requires no training phase, and it enables prediction of the image distortion type as well as local regions' quality,... View full abstract»

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  • Call for Papers: New Signals in Multimedia Systems and Applications House Advertisement

    Publication Year: 2016, Page(s): 31
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  • Image, Audio, and Social Multimedia Computing 
  • PAZ: In-Vehicle Personalized Audio Zones

    Publication Year: 2016, Page(s):32 - 41
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (784 KB) | HTML iconHTML

    The modern vehicle has evolved into a multimedia hub, becoming a vital integration and delivery point for a panoply of media and devices. However, the resulting in-vehicle noise pollution created by this multitude of services has significant potential to become annoying to all vehicle occupants. This problem motivated the authors to build a system that enables the configuration of in-vehicle perso... View full abstract»

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  • A Neural Network for Quality of Experience Estimation in Mobile Communications

    Publication Year: 2016, Page(s):42 - 49
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (525 KB) | HTML iconHTML

    High data rates are usually envisaged by operators to satisfy the subscribers using multimedia services. However, due to the increasing number of tablets, smartphones, and push applications, user needs can require low throughput. A new analysis of user satisfaction is necessary--the so-called quality of experience (QoE). The authors consider specific key performance indicators (KPIs) and propose u... View full abstract»

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  • Unsupervised Speaker Identification for TV News

    Publication Year: 2016, Page(s):50 - 58
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (400 KB) | HTML iconHTML

    Identifying the speakers in TV news would help listeners analyze and understand news content, but doing so in news videos is challenging because new faces often appear. Previous research has identified speakers on pretrained faces for TV shows and movies. Using an unsupervised method, this article proposes labeling speakers using just the available information in the news video without external in... View full abstract»

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    Publication Year: 2016, Page(s): 59
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  • Image, Audio, and Social Multimedia Computing 
  • Example-Based Image Textural Style Transfer

    Publication Year: 2016, Page(s):60 - 66
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (906 KB) | HTML iconHTML

    Textural style transfer aims to transfer the textural style identified from a reference image to a source image, while retaining the scene of the source image. This article proposes a context-aware style transfer algorithm based on sparse-representation-based textural synthesis. Whereas sparse representation is designed to extract the style component of the exemplar image, textural synthesis is pe... View full abstract»

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    Publication Year: 2016, Page(s): 67
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  • Image, Audio, and Social Multimedia Computing 
  • Expressive Modulation of Neutral Visual Speech

    Publication Year: 2016, Page(s):68 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (739 KB) | HTML iconHTML

    Expressive speech animation, or expressive visual speech, is the process by which some representation of facial features (graphical, statistical, or otherwise) is smoothly changed over time to articulate verbal speech, convey emotion through facial expression, or express other characteristics such as visual prosody. Used extensively in the production of movies and computer games, current technique... View full abstract»

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    Publication Year: 2016, Page(s): 79
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  • Quality Modeling 
  • Collaborative Sparse Coding for Multiview Action Recognition

    Publication Year: 2016, Page(s):80 - 87
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (835 KB) | HTML iconHTML

    Multiview action recognition has received increasing attention over the past decade. Various approaches have been proposed to extract view-invariant features; among them, self-similarity matrices (SSMs) have shown outstanding performance. However, SSMs become sensitive when there's a very large view change. To make SSMs more robust to viewpoint changes, the authors propose a collaborative sparse c... View full abstract»

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  • Scientific Conferences 
  • Reports on CBMI 16 and ICME 16

    Publication Year: 2016, Page(s):88 - 93
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  • Startups 
  • Computer Vision Startups Tackle AI

    Publication Year: 2016, Page(s):94 - 96
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (132 KB) | HTML iconHTML

    With the visual revolution upon us, significant opportunities exist for new applications requiring computer vision and multimedia technologies. Learn how the revolution began, why the computer vision field is ripe for innovation, and what helps determine whether a startup will succeed. View full abstract»

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  • Back Covers 
  • Call for Papers: Multimedia Big Data Analytics in Technology Enhanced Learning House Advertisement

    Publication Year: 2016, Page(s): c3
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  • 2017 B. Ramakrishna Rau Award Call for Nominations

    Publication Year: 2016, Page(s): c4
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Aims & Scope

The magazine contains technical information covering a broad range of issues in multimedia systems and applications.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Wenjun Zeng
Microsoft Research Asia