A Visual Information Management System: Image Databases, Knowledge And Visualization

可视化信息管理系统：图像数据库、知识和可视化

• 批准号: 9110683
• 负责人: Ramesh Jain
• 金额: $ 25.16万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-10-01 至 1994-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9110683&HistoricalAwards=false
• 关键词: Visual; Information; Management; System; Image

This research extends query language and user-interface technology to include context-based queries for image data. A context is a domain dependent body of knowledge which encodes the translation between, on one hand, user-level semantics and object classes and, on the other hand, database syntax and entities. A prototype image information system provides a testbed for the investigation of issues in image indexing, similarity measures, and knowledge-guided incremental querying. A set of image processing and feature extraction routines supplies the base for image indexing; this base is augmented with a data model that accounts for objects, their images, the image features, and events in the world involving the objects. A knowledge-base and associated user-interface support navigation within the data model to guide query formation and refinement. This research will develop new concepts in data modeling, image indexing, and user- interfaces, which will enable users to access the image data in such applications as global monitoring and scientific imaging, based on concepts, context, similarity, and image features.

这项研究扩展了查询语言和用户界面技术，包括对图像数据的基于上下文的查询。上下文是依赖于领域的知识主体，它一方面编码用户级语义和对象类之间的转换，另一方面编码数据库语法和实体之间的转换。一个原型图像信息系统为研究图像索引、相似性度量和知识引导的增量式查询等问题提供了一个试验台。一组图像处理和特征提取例程为图像索引提供了基础；该基础由考虑对象、其图像、图像特征和涉及对象的世界中的事件的数据模型来扩充。知识库和相关联的用户界面支持数据模型内的导航，以指导查询形成和改进。这项研究将在数据建模、图像索引和用户界面方面开发新的概念，使用户能够基于概念、上下文、相似性和图像特征访问全球监测和科学成像等应用中的图像数据。