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

III：小型：FoLIO - 基于图像的纵向组织框架

• 批准号: 0916421
• 负责人: William Seales
• 金额: $ 25万
• 依托单位: University of Kentucky Research Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916421&HistoricalAwards=false
• 关键词: III; Small; FoLIO; Framework; Longitudinal

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.

这个拟议的项目将开发一个组织图像的框架，允许表示、处理、突出、增强和研究这些图像之间的特定类型的关系。技术挑战涉及建立新的表征和算法系统，以捕捉集合中将不同种类的图像彼此关联的主要“纵向类别”。图像之间的关系问题通常是通过配准提出的，这通常是高度情境化的。这项工作将捕获将注册指定为元数据构造所需的步骤，元数据构造支持图像相互映射的一系列粒度，以及跨组织类别的异类关系，如时间(历时)、多模式和由语义对象关联的实例。这项工作是高度跨学科的，结果可以推广到其他问题集。