Research Papers

Benefits

BigMM 2019 Proceedings available in IEEE Xplore to the entire scientific community.

Best papers of the IEEE BigMM 2019 will be recommended for publication to a regular call of IEEE Multimedia and invited for publication to the special issues of IJMDEM and IJSC.

You may also get regular updates at https://twitter.com/IEEEBigMM19 and https://www.facebook.com/ieeebigmm.

Submission Deadline

  • Regular Paper Submission: 11:59pm PST, June 15, 2019     June 23, 2019
  • Industry Paper Submission: 11:59pm PST, June 15, 2019   June 23, 2019
  • Short Paper Submission: 11:59pm PST, June 15, 2019    June 23, 2019
  • Demonstration Paper Submission: 11:59pm PST, June 15, 2019   June 23, 2019
  • Notification of Paper Acceptance: July 20, 2019   
  • Camera-ready: August 1, 2019     
  • Registration Deadline: August 1, 2019     
  • Conference: September 11-13, 2019      

Call for Paper Descriptions

The Fifth IEEE International Conference on Multimedia Big Data (BigMM 2019)
September 11-13, 2019
Singapore, Singapore
http://bigmm2019.org/

Multimedia is increasingly becoming the “biggest big data” as the most important and valuable source for insights and information. It covers from everyone’s experiences to everything happening in the world. As such, multimedia big data is spurring on tremendous amount of research and development of related technologies and applications.

The IEEE International Conference on Multimedia Big Data (BigMM), jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing) and IEEE-TCSEM (Technical Committee on Semantic Computing), is a world’s premier forum of leading scholars in the highly active multimedia big data research, development and applications. The fifth BigMM conference hosted by the National University of Singapore (NUS), will be held at NUSS Guild House in NUS, Singapore from Septemeber 11 to 13 in 2019.

The conference solicits high-quality original research papers in any aspect of multimedia big data. Topics include, but are not limited to:

  • New theory and models for multimedia big data computing
  • Ultra-high efficiency compression, coding and transmission of multimedia big data
  • Content analysis and mining of multimedia big data
  • Semantic retrieval of multimedia big data
  • Deep learning and cloud computing for multimedia big data
  • Green computing for multimedia big data (e.g., high efficiency storage)
  • Security and privacy in multimedia big data
  • Interaction, access, visualization of multimedia big data
  • Multimedia big data systems
  • Novel and incentive applications of multimedia big data in various fields (e.g., search, healthcare, life sciences, manufacturing, industry 4.0, transportation, and retail)