Multimedia Data Fusion
Multimedia Data Fusion
复制标题
多媒体数据融合
DOI：
10.1155/2013/586259
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发表时间：
2013
影响因子：
--
通讯作者：
Fenghui Yao
中科院分区：
文献类型：
--
作者：
Shangbo Zhou;H. Leung;Fenghui Yao
多媒体数据在世界上被广泛使用，例如图像、视频、文本和音频。为了获得更好的感知性能，多媒体数据融合技术的研究在世界范围内得到了广泛的应用。在医疗系统中，身体部位可以用不同的传感器成像，如计算机断层扫描和磁共振成像。在视频监控中，人们感兴趣的是通过众多摄像机对人进行识别、识别和跟踪。所有这些案例都说明了在现实生活中的应用程序的重要性。许多数学方法已经研究了统计学，模糊数学，随机微分理论和计算方法。作为一个特殊的问题，我们的目的是反映当前和未来的理论和应用，在以下几个方面：传感器融合在多媒体医学数据，传感器注册在三维多媒体数据，传感器选择最佳的传感器融合，数据融合算法的性能评估，联合数据注册和融合算法和多媒体数据融合的应用。
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 imagedwith 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 methods. As a special issue, we aim to reflect on the current and future theory and application of MDF in the following aspects: 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 and the application of multimedia data fusion.