Jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing), IEEE-TCSEM (Technical Committee on Semantic Computing), BigMM aims to establish a community of researchers from academia and industry focusing on the synergetic interactions between multimedia content and big data analytics. It is a world premier forum of leading researchers in the highly active multimedia big data research, development and applications.
Multimedia, as one of the most important and valuable sources for insights and information, is increasingly being considered as big data." Multimedia big data includes but is not limited to text, image, graphics, audio, video, social, and sensor data that is highly valuable in decision making. It covers from everyone 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.
Authors are invited to submit regular papers (two-column 8 pages maximum), short papers (two-column 4 pages maximum), industry papers (two-column 4 pages maximum), and demonstration papers (two-column 2 pages maximum) to present novel theoretical and practical solutions addressing problems with multimedia big data and related applications. Detailed guidelines can be found at the BigMM 2017 website.
The conference solicits high-quality original research papers in any aspect of multimedia big data. Topics include, but are not limited to:
Big Data Analytics in Multimedia Sensor Networks
The First Workshop on Learning-based Big Multimedia Understanding
International Workshop on Attractiveness Computing in Multimedia in conjunction of IEEE BigMM (IEEE-ACM 2017)
Social Multimedia Computing
IEEE BigMM Workshop on Cross-Platform Multimedia Big Search