A Picture Retrieval System Based on Contents

一种基于内容的图片检索系统

• 批准号: 9509253
• 负责人: Clement Yu
• 金额: $ 24.32万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-10-01 至 1998-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9509253&HistoricalAwards=false
• 关键词: Picture; Retrieval; System; Based; Contents

This is an inter-institutional collaborative research project involving University of Illinois at Chicago (UIC) and Wright State University (WSU). Pictorial systems which retrieve pictures based on contents have wide applications. For example, learning can be facilitated by retrieving pictures from electronic encyclopedia; radiologists can be assi sted in diagnosis; satellite images of desired contents can be retrieved by earth scientists to perform research; appropriate garments can be viewed by customers before deciding where they go shopping, etc. The purpose of the project is to construct a generic picture retrieval and analysis system which can be easily adapted to various applications , including the construction of digital libraries and their use in retrieval of information. Similarity based retrieval involving spatial relationships, and fuzzy and precise matching is used one of the approaches investigated. Other techniques that play a significant role are: multi-dimensional searching; parametrized similarity functions; visual query tools; image analysis techniques such as segmentation; object recognition; and color and shape analysis. The retrieval subsystem is developed at UIC, while the image analysis subsystem is developed at WSU. The two subsystems will be combined to form an integrated system. The usefulness of the system will be demonstrated for the following ap plications: retrieval of photographs for the photo-shop at UIC, and retrieval of images for diagnosis of skin cancer at Rush-Presbyterian Medical Center in Chicago.

这是一个跨机构的合作研究项目，涉及伊利诺伊大学芝加哥分校（UIC）和赖特州立大学（WSU）。基于内容检索图像的图像检索系统有着广泛的应用。例如，通过从电子百科全书检索图片可以促进学习;放射科医生可以协助诊断;地球科学家可以检索所需内容的卫星图像以进行研究;顾客可以在决定去哪里购物之前查看合适的服装，该项目的目的是建立一个通用的图片检索和分析系统，可以很容易地适应各种应用，包括数字图书馆的建设及其在信息检索中的应用。基于相似性的检索涉及空间关系，模糊和精确匹配的方法之一。其他发挥重要作用的技术有：多维搜索;参数化相似性函数;视觉 查询工具;图像分析技术，如分割;对象识别;以及颜色和形状分析。检索子系统在UIC开发，而图像分析子系统在WSU开发。这两个子系统将结合起来，形成一个综合系统。该系统的有用性将被证明为以下applications：检索照片的photo-shop在UIC，检索图像的皮肤癌诊断在芝加哥拉什长老会医学中心。