Call for Papers
Special Issue on on Large-Scale Multimedia Mining and Visual Analytics
Guest Editor:
Prof. Zhong-Xuan Luo, Dalian University of Technology, zxluo@dlut.edu.cn
Prof. Ruo-Mei Wang, Sun Yat-sen University,
isswrm@mail.sysu.edu.cn
Important Dates:
November 30, 2016: paper submission deadline
January 30, 2017: First Round Decisions
March 30, 2017: Revisions Deadline
May 15, 2017: Final Round Decisions
All submissions will be handled via the SmartChair system. When submitting papers, authors should:
Register an account via
http://www.smartchair.org/SIonLMMVA/
Login with your SmartChair account and choose the role to be participant
Propelled by the rapid advancement of massive storage devices and delivery technologies, both the amount and the diversity of consumer-produced multimedia content on the web are growing at an incredible rate. Multimedia sources such as image, audio and video are almost unstructured or semi-structured data by nature, which leads to poor accessibility without using efficient and effective technologies and solutions. Recent progress on data mining and visualization techniques stimulates researchers to seek methods for large-scale multimedia content retrieval and analysis. As a relatively new field of study, visual analytics brings together new computational and theory-based tools to generate insightful results and findings from massive and complex data. By coupling interactive visual representations with underlying analytical processes, this science of analytical reasoning is becoming one of the fastest ways for people to explore and understand large multimedia collections. This special issue will target the most advanced multimedia mining topics and advocates a promising combination of automatic analysis and visualization techniques to deal with the challenges of multimedia processing in large-scale environments.
For this special issue, authors are invited to submit original research papers and high-quality overview and survey articles on topics including, but not limited to:
• Multimedia Processing
• Indexing and Retrieval for Large Multimedia Collections
• Data Mining Methods for Multimedia Data
• Computer Graphics
• Computer Vision & Image Processing
• Machine Learning for Multimedia
• Visualization
• Human-Computer Interaction
• Cloud Computing and Storage for Visual Data
