Issue 4 • Oct.-Dec. 2018

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  • Front Cover

    Publication Year: 2018, Page(s): C1
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  • IEEE COMPSAC 2019

    Publication Year: 2018, Page(s): C2
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  • Table of Contents

    Publication Year: 2018, Page(s):1 - 2
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  • Masthead

    Publication Year: 2018, Page(s): 3
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  • One membership. Unlimited knowledge.

    Publication Year: 2018, Page(s): 4
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  • Column: Eic Message 
  • Multimedia for Data Science

    Publication Year: 2018, Page(s):5 - 7
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  • FEATURE ARTICLE: ARTIFICIAL, AUGMENTED, AND VIRTUAL REALITIES 
  • Technical Evaluation of HoloLens for Multimedia: A First Look

    Publication Year: 2018, Page(s):8 - 18
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (919 KB) | HTML iconHTML

    A recently released cutting-edge AR device, Microsoft HoloLens, has attracted considerable attention with its advanced capabilities. In this article, we report the design and execution of a series of experiments to quantitatively evaluate HoloLens' performance in head localization, real environment reconstruction, spatial mapping, hologram visualization, and speech recognition. View full abstract»

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  • Discovering Latent Aspects for Diversity-Induced Image Retrieval

    Publication Year: 2018, Page(s):19 - 33
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1026 KB) | HTML iconHTML

    To provide an overview of a query object to fast target users' demands, it is important to make the retrieved results as diverse as possible. In this paper, we fuse latent Dirichlet allocation and three text-based schemes to improve diversity of retrieved results. The experiments prove our advantages. View full abstract»

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  • IMAGE CLASSIFICATION 
  • pDisVPL: Probabilistic Discriminative Visual Part Learning for Image Classification

    Publication Year: 2018, Page(s):34 - 45
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (411 KB) | HTML iconHTML

    This work studies the discriminative mid-level visual part learning problem from a probabilistic point of view and we derive a probabilistic graphical representation called pDisVPL to explain this learning problem. Extensive experiments on image classification benchmarks demonstrate the state-of-the-art performances. View full abstract»

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  • IMAGE SECURITY 
  • Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography

    Publication Year: 2018, Page(s):46 - 56
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1170 KB) | HTML iconHTML

    This paper performs a thorough security analysis of a chaotic image encryption algorithm based on autoblocking and electrocardiography from the view point of modern cryptography. The algorithm uses electrocardiography (ECG) signals to generate the initial key for a chaotic system and applies an autoblocking method to divide a plain image into blocks of certain sizes suitable for subsequent encrypt... View full abstract»

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  • THEME ARTICLE: MUSICAL TRACKS AS COMPLEX NETWORKS 
  • Clustering of Musical Pieces Through Complex Networks: An Assessment Over Guitar Solos

    Publication Year: 2018, Page(s):57 - 67
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (569 KB) | HTML iconHTML

    Musical pieces can be modeled as complex networks. This fosters innovative ways to categorize music, paving the way toward novel applications in multimedia domains, such as music didactics, multimedia entertainment, and digital music generation. Clustering these networks through their main metrics allows grouping similar musical tracks. To show the viability of the approach, we provide results on ... View full abstract»

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  • THEME ARTICLE: COMPUTER APPLICATIONS: SOCIAL COMMUNICATION 
  • Social Relationship Labeling Based on Multimodal Behaviors and Social Interactions

    Publication Year: 2018, Page(s):68 - 78
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (584 KB) | HTML iconHTML

    This paper is addressing the social relationship labeling problem by exploiting users' multi-modal behaviors and abundant social interactions on Twitter. This can effectively alleviate the problem of lacking specific information of following relationships. The experimental results demonstrate the effectiveness of the designed features and different classifiers. View full abstract»

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  • COLUMN: STARTUPS 
  • A Budding Romance: Finance and AI

    Publication Year: 2018, Page(s):79 - 83
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (152 KB) | HTML iconHTML

    Enthusiasm for artificial intelligence and multimedia information in the financial industry is at an all time high. Every leader in finance now feels the pressure to answer the question, “What is your AI strategy?” Start-ups are playing a key role in helping the financial sector determine what AI can do and how humans and machines can work together. In this essay, we describe emer... View full abstract»

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  • Looking for the BEST Tech Job for You?

    Publication Year: 2018, Page(s): 84
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  • IEEE Computer Society

    Publication Year: 2018, Page(s): C3
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  • IEEE LETTERS OF THE COMPUTER SOCIETY

    Publication Year: 2018, Page(s): C4
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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