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’s experiences to everything happening in the world. As such, multimedia big data is spurring on a tremendous amount of research and development of related technologies and applications.

The focus of the conference series has been established with the belief that it is important to have a full, top-tier conference that focuses specifically on the combination of multimedia and big data research. While research about specific aspects of big data systems is regularly published in the various proceedings and transactions of the information retrieval, operating system, real-time system, and database communities, BigMM aims to cut across these domains in the context of multimedia data types. This provides a unique opportunity to view the intersections and interplay of the various approaches and solutions developed across these domains to deal with multimedia big data types. Furthermore, BigMM provides an avenue for communicating research that addresses both multimedia and big data holistically. The mission of the conference is to share research results and solutions and to identify new issues and directions for future research and development work.The technical program of BigMM 2023 will consist of invited talks, paper presentations, and panel discussions. Submissions are solicited for full papers, short papers, and workshop papers. 

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full papers: should be no longer than eight (8) pages
• Concise and industry papers: should be no longer than four (4) pages
• Posters: should be no longer than two (2) pages. 

Manuscripts must be written in English and follow the instructions in the Manuscript Formatting and Templates page. Document templates are located at https://www.ieee.org/conferences/publishing/templates.html

Only electronic submission will be accepted. Technical paper authors MUST submit their manuscripts through EasyChair. Please follow this link (Please register if not an EasyChair user). Manuscripts may only be submitted in PDF format.

Committees

Program Committee

• Bryan Chou, Samsung, Canada
• Mouzhi Ge, Deggendorf Institute of Technology, Germany​​
• Mike Shou, National University of Singapore, Singapore

Organizing committee

• Dick Bulterman, CWI, The Netherlands
• Mohan Kankanhalli, National University of Singapore, Singapore
• Giovanni Pilato, Italian Research Council, Italy
• Phillip Sheu, University of California, Irvine, USA

Publication

All papers presented at BigMM 2023 will be included in IEEE Xplore. Extended versions of the top-ranked BigMM 2023 papers will be invited for submission and potential publication in the International Journal of Semantic Computing, which is indexed on Thomson Reuters' new product, the Emerging Sources Citation Index (ESCI), Scopus and Ei Compendex. 

Venue

The IEEE BigMM 2023 conference will take place at The Hills HotelLaguna Hills, California, USA 

To avoid possible COVID-19 restrictions, the conference will be held in a hybrid mode - You may join the conference in person or online.

Contact

All questions about submissions should be emailed to bigmm@uci.edu