Multimedia Data Fusion
1Department of Computer Science, Chongqing University, Chongqing 400044, China
2Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada T2N 1N4
3Department of Computer Science, Tennessee State University, Nashville, TN, USA
Multimedia Data Fusion
Description
Multimedia data is widely used in the world such as image, video, text, and audio. For obtaining better sensing performance, research on multimedia data fusion (MDF) is active and extensive around the world. In medical systems, a body part could be imaged with different sensors such as computed tomography and magnetic resonance imaging. In video surveillance, the interest is in the identification, recognition, and tracking of people by numerous cameras. All of these cases illustrate the importance of MDF in real-life applications. A number of mathematical methods have been researched in MDF such as statistics, fuzzy mathematical, stochastic differential theory, and computational method.
In order to reflect the most recent advances in this field, we invite authors to submit original research as well as review articles on newly emerging trends in MDF. Potential topics include, but are not limited to:
- Sensor fusion in multimedia medical data
- Sensor registration in 3D multimedia data
- Sensor selection for optimal sensor fusion
- Performance evaluation of the data fusion algorithms
- Joint data registration and fusion algorithms
- The application of multimedia data fusion
Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/author/submit/journals/mpe/mde/ according to the following timetable: