MMIA 2023: The 5th International Conference on Multi-modal Information Analytics6 Suzhou, China, May 19-20, 2023 |
Conference website | http://mmia.net.cn/mmia2023 |
Abstract registration deadline | April 15, 2023 |
Submission deadline | May 15, 2023 |
We are living in the era of data deluge. The world of big data exhibits a rich and complex set of cross-media contents. So far, great research efforts have been dedicated separately to big data processing and cross-media mining, with well-grounded theoretical underpinnings and great practical success. However, studies jointly considering cross-media big data analytics are relatively sparse. Despite its significance and value, it is non-trivial to analyze cross-media big data due to their heterogeneity, large-scale volume, increasing size, unstructured nature, correlations, and noise. Multi-modal Information systems, which can be treated as the most significant breakthrough in the past 10 years, have greatly impacted the methodologies utilized in computer vision and achieved terrific progress in both academia and industry.
Submission Guidelines
- Authors should submit papers reporting original work that are currently not under review or published elsewhere. Accepted full papers will be published in the conference proceedings. Long papers cannot exceed 10 pages and short papers cannot exceed 6 pages in length. Both short paper and regular paper are invited for presentation.
- MMIA2023 will employ double blind reviewing process, every research paper submitted to MMIA2023 will undergo a “double blind” reviewing process: the PC members and referees who review the paper will not know the identity of the authors. To ensure anonymity of authorship, authors must prepare their manuscript as follows: Author’s names and affiliations must not appear on the title page or else where in the paper.Funding sources must not be acknowledged on the title page or elsewhere in the paper.Research group members, or other colleagues or collaborators, must not be acknowledged anywhere in the paper.Source file naming must also be done with care, to avoid identifying the author’s names in the paper’s associated metadata. For example, if your name is Jane Smith and you submit a PDF file generated from a .dvi file called Jane- Smith.dvi, your authorship could be inferred by looking into the PDF file.
Committees
Program Committee
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Vijayan Sugumaran, Oakland University, USA
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Zheng Xu, Shanghai Polytechnic University, China
- Sreedevi A.G., Amrita School of Engineering, Chennai Campus, India
Organizing committee
- Huakang Li, Xi'an Jiaotong-Liverpool University, China
Contact
mmia2023@126.com