The Fifth IEEE International Conference on Multimedia Big Data

BigMM 2019


Engineering & Computer Science (General)



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), sponsored by IEEE Technical Committee on Multimedia Computing (IEEE-TCMC) and IEEE Technical Committee on Semantic Computing (IEEE-TCSEM), aims to promote the exchange of the latest advances in multimedia from academia and industry in China. It is a world’s premier forum of leading scholars in the highly active multimedia big data research, development and applications. The fourth BigMM conference will be held in National University of Singapore, Singapore from September 11 to 13 in 2019.
The conference solicits high-quality original research papers in any aspect of multimedia big data and big AI. Topics include, but are not limited to:
- Theory and models for multimedia big data
- Compression, coding and transmission of multimedia big data
- Content analysis and data mining
- Semantic retrieval
- Deep learning and Brian Computing
- Green computing for multimedia big data
- Security and privacy in multimedia data
- Interaction, access, visualization of multimedia data
- Cloud computing and Multimedia system
- Novel applications of multimedia big data in various fields
BigMM 2019 will showcase high quality oral and poster presentations as well as demonstration sessions. Submitted papers will be reviewed by at least three reviewers. Best papers and demonstrations will be awarded at the conference. All papers in this conference will be included in the IEEE Explore and indexed by EI. Authors of high quality papers will be invited to submit an extended version to several SCI-indexed journals including IEEE Access, MTAP, JCST, and FCS.