SBIR Phase I: Discovery Analyst: A Data Mining System for Image Databases

SBIR 第一阶段：Discovery Analyst：图像数据库的数据挖掘系统

• 批准号: 0232920
• 负责人: Stuart Blundell
• 金额: $ 10万
• 依托单位: VISUAL LEARNING SYSTEMS INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0232920&HistoricalAwards=false
• 关键词: SBIR; Phase; Discovery; Analyst; Data

This Small Business Innovation Research (SBIR) Phase I project describes a powerful new approach to GIS data-mining for large image databases. The current inefficiencies in extracting information from these databases are primarily caused by the limited ability to extract baseline geographic information (such as road networks) from images. The proposed system addresses this need by combining feature extraction efficiencies with the ability to refine queries efficiently. The feature extraction system reduces the labor required for extracting information from imagery and the query refinement system incorporates user-driven and data-driven strategies to focus on interesting and relevant discoveries. The proposed system will also provide solutions for multi-media applications containing imagery, web-based applications, medical image repositories, and other applications. Geo-spatial information technology is rapidly becoming a cornerstone of scientific research, environmental modeling, local government planning, and federal government security programs. The proposed system also has commercial potential for other application domains such as medical imaging.

该小型企业创新研究（SBIR）第一阶段项目描述了一种针对大型图像数据库进行GIS数据挖掘的强大新方法。 目前从这些数据库中提取信息的效率低下，主要是由于从图像中提取基线地理信息（如道路网）的能力有限。所提出的系统解决了这一需要相结合的功能提取效率与能力，有效地细化查询。 特征提取系统减少了从图像中提取信息所需的劳动力，查询细化系统采用了用户驱动和数据驱动的策略，专注于有趣和相关的发现。拟议的系统还将为包含图像的多媒体应用程序、基于网络的应用程序、医学图像库和其他应用程序提供解决方案。 地理空间信息技术正迅速成为科学研究、环境建模、地方政府规划和联邦政府安全计划的基石。所提出的系统也具有商业潜力的其他应用领域，如医学成像。