Mathematical Problems in Engineering

Multimedia Data Fusion


Publishing date
16 Aug 2013
Status
Published
Submission deadline
29 Mar 2013

Lead Editor
Guest Editors

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:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 708985
  • - Research Article

A Novel Algorithm for Satellite Images Fusion Based on Compressed Sensing and PCA

Wenkao Yang | Jing Wang | Jing Guo
  • Special Issue
  • - Volume 2013
  • - Article ID 586259
  • - Editorial

Multimedia Data Fusion

Shangbo Zhou | Henry Leung | Fenghui Yao
  • Special Issue
  • - Volume 2013
  • - Article ID 352634
  • - Research Article

Robust Online Object Tracking Based on Feature Grouping and 2DPCA

Ming-Xin Jiang | Jun-Xing Zhang | Min Li
  • Special Issue
  • - Volume 2013
  • - Article ID 176249
  • - Research Article

Bayesian Sparse Estimation Using Double Lomax Priors

Xiaojing Gu | Henry Leung | Xingsheng Gu
  • Special Issue
  • - Volume 2013
  • - Article ID 382619
  • - Research Article

A Novel Feature-Level Data Fusion Method for Indoor Autonomous Localization

Minxiang Liu | Yuhao Wang | ... | Jiangnan Yu
  • Special Issue
  • - Volume 2013
  • - Article ID 429696
  • - Research Article

Domain-Oriented Subject Aware Model for Multimedia Data Retrieval

Lingling Zi | Junping Du | Qian Wang
  • Special Issue
  • - Volume 2013
  • - Article ID 135182
  • - Research Article

Image Fusion Based on Nonsubsampled Contourlet Transform and Saliency-Motivated Pulse Coupled Neural Networks

Liang Xu | Junping Du | Qingping Li
  • Special Issue
  • - Volume 2013
  • - Article ID 972438
  • - Research Article

Audio-Visual-Based Query by Example Video Retrieval

Sujuan Hou | Shangbo Zhou
  • Special Issue
  • - Volume 2013
  • - Article ID 367105
  • - Research Article

The Study of Scene Classification in the Multisensor Remote Sensing Image Fusion

Ji Li | Zhen Liu
  • Special Issue
  • - Volume 2013
  • - Article ID 628792
  • - Research Article

Maintenance Decision Based on Data Fusion of Aero Engines

Huawei Wang | Jun Gao | Zhiyong Liu
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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