In search of relevant things: A novel approach for image analysis.

这个项目旨在研究如何将专家的认知过程转移到计算机上，以自动识别视觉特征。通过融合计算机和脑科学，该项目将描述专家大脑理解所见内容的方式，以便将这一过程转化为一种新的计算机视觉工具。这应该会带来显著的好处，例如分别自动检测卫星和诊断成像中的威胁或疾病，以及其他应用。首次将计算机分析图像和专家解释图像的方式结合起来，作为一种通用语言，使机器能够以模仿人脑的方式处理视觉信息。

This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.