MMTC R-Letter Volume 7, Issue 2

Board Director: Christian Timmerer
Board Co-Directors: Yan Zhang


Published: April 2016

The objectives of the IEEE MMTC R-Letter are:

  • Stimulate research on multimedia communication.
  • Encourage researchers to submit papers (R-Letter CFP) to IEEE MMTC sponsored publications and conferences.
  • Nominate papers published in IEEE MMTC sponsored publications/conferences for best paper awards.


  • Message from the Review Board Directors
  • Integrating Deep Learning and Multiple Instance Learning
    • A short review for “Deep Multiple Instance Learning for Image Classification and Auto-Annotation” (Edited by Jun Zhou)
  • Learning for HTTP-Based Adaptive Streaming
    • A short review for “Optimizing HTTP-Based Adaptive Streaming in Vehicular Environment Using Markov Decision Process” (Edited by Koichi Adachi)
  • Machine Learning and Data Analysis for Diagnosing a Video Streaming Session
    • A short review for “Identifying the Root Cause of Video Streaming Issues on Mobile Devices” (Edited by Gwendal Simon)
  • Revisiting VoD Caching Strategies with a Detailed Log of Tencent
    • A short review for “Video Popularity Dynamics and Its Implication for Replication” (Edited by Carsten Griwodz)
  • Assessment of Visual Quality and Discomfort for Stereoscopic 3D Images
    • A short review for “Transition of Visual Attention Assessment in Stereoscopic Images With Evaluation of Subjective Visual Quality and Discomfort” (Edited by Bruno Macchiavello)
  • Algorithmic Nuggets in Content Delivery
    • A short review for “Algorithmic Nuggets in Content Delivery” (Edited by Michael Zink)
  • Paper Nomination Policy
  • MMTC R-Letter Editorial Board
  • Multimedia Communications Technical Committee Officers
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