III: SMALL: FoLIO-Framework for Longitudinal Image-based Organization

这个提议的项目将开发一个组织图像的框架，允许这些图像之间的特定类型的关系被表示、操纵、突出显示、增强和研究。技术挑战包括建立新的代表性和算法系统，以捕获主要的“纵向类别”，这些类别将集合中的异质图像相互联系起来。图像之间的关系问题通常是通过配准提出的，这通常是高度语境化的。这项工作将捕捉到将注册指定为元数据结构所必需的步骤，该元数据结构允许将图像映射到彼此中的一系列粒度，以及跨组织类别（如时间（历时）、多模态和由语义对象相关的实例）的异构关系。这项工作是高度跨学科的，其结果可以推广到其他问题集。

This proposed project will develop a framework for organizing images that allows the specific types of relationships between those images to be represented, manipulated, highlighted, enhanced, and studied. The technical challenges involve building new representational and algorithmic systems to capture the major "longitudinal categories" that relate heterogeneous images to each other within collections. The problem of relationship between images is normally posed through registration, which is most often highly contextualized. This work will capture the steps necessary to specify registration as a metadata construction that enables a range of granularities in mapping images to each other, and heterogeneous relationship across organizational categories such as time (diachronic), multi-modal, and instances related by a semantic object. The work is highly interdisciplinary and results can be generalized to other problem sets.