Description:
Recent advances in computing, networking, storage, and information technology have enabled the collection and distribution of vast amounts of multimedia data in a variety of applications such as entertainment, education, environmental protection, e-commerce, public safety, digital government... Show More
Recent advances in computing, networking, storage, and information technology have enabled the collection and distribution of vast amounts of multimedia data in a variety of applications such as entertainment, education, environmental protection, e-commerce, public safety, digital government, homeland security, and manufacturing. The proliferation of multimedia data and its rich semantics have created the needs for advanced techniques for in-depth content processing, analysis, indexing, learning, mining, searching, management, and retrieval. The International Journal of Multimedia Data Engineering and Management (IJMDEM) addresses the corresponding issues and challenges and publishes original research on new theories, algorithms, technologies, system design, and implementation in multimedia data engineering and management.
Mission & Scope:
The primary objective International Journal of Multimedia Data Engineering and Management (IJMDEM) is to promote and advance multimedia research from different aspects in multimedia data engineering and management. It provides a forum for university researchers, scientists, industry professionals, software engineers and graduate students who need to be become acquainted with new theories... Show More
The primary objective International Journal of Multimedia Data Engineering and Management (IJMDEM) is to promote and advance multimedia research from different aspects in multimedia data engineering and management. It provides a forum for university researchers, scientists, industry professionals, software engineers and graduate students who need to be become acquainted with new theories, algorithms, and technologies in multimedia engineering, and to all those who wish to gain a detailed technical understanding of what multimedia engineering involves. Novel and fundamental theories, algorithms, technologies, and applications will be published to support this mission.
Coverage:
- Content understanding and analytics
- Content-based retrieval (image, video, audio, etc.)
- Deep learning/machine learning/data mining
- Graph Theory and Mining
- Internet of multimedia things
- Media representation, processing and quality measurement
- Mobile media
- Multimedia Applications
- Multimedia data engineering
- Multimedia data modeling
- Multimedia databases/data management
- Multimedia networking, communications and streaming
- Multimedia systems and infrastructures
- New standards
- Rich/hyper Text and Ontology Mining
- Security support for multimedia data
IGI Global holds its journals to the highest ethical practices.
View Full Editorial PolicyAs this journal is under the Hybrid Open Access model, authors can choose between Standard (Non-OA) publishing or Open Access publishing. Find the policies for the publishing models below:
- Standard (Non-OA) Publishing: If the author chooses to publish under the Standard (Non-OA) model, the article will be published under a Green OA model and the copyright of
their article will transfer to IGI Global under our Author Warranty and Transfer of Copyright Agreement.
However, through Green OA, IGI Global supports a Fair Use Policy, enabling authors to Post the final
typeset PDF (which includes the title page, table of contents and other front materials, and the copyright
statement) of their chapter or article (NOT THE ENTIRE BOOK OR JOURNAL ISSUE), on the author or
editor's secure personal website and/or their university repository site. See the Fair Use Policy for sharing allowances conducive to Green Open Access.
- Open Access Publishing: If the author choses to publish under OA, the authors receive the
Creative Commons Attribution 4.0 International (CC BY 4.0) licensing arrangement. The copyright for the
work remains solely with the author(s) of the article. Others may distribute, remix, tweak, and build upon
the work, even commercially, without asking prior permission from the publisher or author and so long as
they credit the author for the original creation. All authors are required to sign an author's warranty
stating that the materials are original and unpublished elsewhere. The journal will not publish any
material that has been previously published elsewhere. Learn More
This journal operates under the Hybrid Open Access model,
allowing the author to choose between traditional, subscription-based publishing, or Open Access publishing.
Subscription-Based Publishing/Green Open Access:
Article manuscripts require no Article Processing Charge (APC) and require authors to transfer the copyright of the
manuscript to IGI Global. Manuscripts are published behind a paywall and must be purchased for use. See the
Fair Use Policy
for sharing allowances conducive to Green Open Access.
Open Access Publishing:
Article manuscripts receive the Creative Commons Attribution 4.0 International
(CC BY 4.0) licensing arrangement. The copyright for the work remains solely with the author(s) of
the article. Others may distribute, remix, tweak, and build upon the work, even commercially, without asking
prior permission from the publisher or author and so long as they credit the author for the original creation.
A one-time Article Processing Charge (APC) of US $2,300 must be paid AFTER the manuscript has gone
through the full double-blind peer review process and the Editor(s)-in-Chief at his/her/their full discretion
has decided to accept the manuscript based on the results of the double-blind peer review process. Learn
more about APCs
here.
Open Access Funding:
IGI Global recognizes that many researchers may not know where to begin when searching for OA funding opportunities. IGI Global recently
launched an
Open Access Funding Resources
page for researchers to browse. This page provides a comprehensive list of OA funding sources available for researchers to secure funds
for their various OA publications.
All inquiries regarding IJMDEM should be directed to the attention of:
All inquiries regarding IJMDEM should be directed to the attention of:Shu-Ching Chen, PhD and Chengcui Zhang
Editors-in-Chief
International Journal of Multimedia Data Engineering and Management
E-mail:
chens@cs.fiu.edu;
czhang02@uab.eduEditor(s)-in-Chief Biography
Chengcui Zhang is a Full Professor of computer science with the University of Alabama at Birmingham, Birmingham, AL, USA. She works in the broad areas of multimedia databases and information retrieval, multimedia data mining, multimedia security and forensics, geoinformatics, and applied bioinformatics. She has authored or coauthored more than 160 refereed articles, many at the top tier venues in computer sciences including IEEE Transactions, IEEE Multimedia, ACM Multimedia, IEEE International Conference on Data Mining, ACM Conference on Communication and Computer Security, and IEEE International Conference on Multimedia and Expo. Her research has been externally supported by US National Science Foundation, NIH, and by awards/gifts from the industry, including IBM, eBay, and Comcast.
She received the B.E. and M.E. degrees in computer science from Zhejiang University, Hangzhou, China, in 1996 and 1999, respectively, and the Ph.D. degree in computer science from Florida International University, Miami, FL, USA, in 2004. She was the former Chair of IEEE Technical Committee on Semantic Computing and has served as the Conference Program Chair and General Chair for many IEEE Conferences. She is the current Conference Chair IEEE Technical Committee on Multimedia Computing and was an Associate Editor of IEEE Transactions on Multimedia between 2014 and 2016.
Shu-Ching Chen is an Eminent Scholar Chaired Professor in the School of Computing and Information Sciences (SCIS), Florida International University (FIU), Miami since August 2009. Prior to that, he was an Assistant/Associate Professor in SCIS at FIU from 1999. He received his Ph.D. degree in Electrical and Computer Engineering in 1998, and Master's degrees in Computer Science, Electrical Engineering, and Civil Engineering in 1992, 1995, and 1996, respectively, all from Purdue University, West Lafayette, IN, USA. He is the Director of Distributed Multimedia Information Systems Laboratory (DMIS) and the Co-Director of the Integrated Computer Augmented Virtual Environment (I-CAVE). His main research interests include multimedia big data, content-based image/video retrieval, multimedia data mining, multimedia systems, and Disaster Information Management. Dr. Chen has authored and coauthored more than 300 research papers in journals, refereed conference/symposium/workshop proceedings, book chapters, and four books.
Dr. Chen was named a 2011 recipient of the ACM Distinguished Scientist Award. He received the best paper awards from 2006 IEEE International Symposium on Multimedia and 2016 IEEE International Conference on Information Reuse and Integration. He was awarded the IEEE Systems, Man, and Cybernetics (SMC) Society's Outstanding Contribution Award in 2005 and was the co-recipient of the IEEE Most Active SMC Technical Committee Award in 2006. He is a fellow of IEEE, AAAS, and SIRI.
He has been a General Chair and Program Chair for more than 60 conferences, symposiums, and workshops. He is the founding Editor-in-Chief of International Journal of Multimedia Data Engineering and Management, and Associate Editor/ Editorial Board of IEEE Trans. on Multimedia, IEEE Multimedia, and IEEE Trans. on Human-Machine Systems. He served as the Chair of IEEE Computer Society Technical Committee on Multimedia Computing. He is Co-Chair of IEEE Systems, Man, and Cybernetics Society's Technical Committee on Knowledge Acquisition in Intelligent Systems. He also serves/served as a member of technical program committee for more than 380 professional meetings. Dr. Chen is also the Co-Founder of Bay Area Multimedia Forum.