A knowledge management system for intelligent retrieval of geo-spatial imagery

被引:0
|
作者
McLoughlin, E [1 ]
O'Sullivan, D
Bertolotto, M
Wilson, D
机构
[1] Univ Coll Dublin, Dept Comp Sci, Smart Media Inst, Dublin, Ireland
[2] Univ N Carolina, Charlotte, NC 28223 USA
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Large repositories of geo-spatial images are employed to support tasks such as intelligence operations, recreational and professional mapping, urban planning and touristic systems. As imagery is retrieved to support a specific task, the interactions, analyses, and conclusions - based on relevant imagery - may be captured together with the images as an encapsulated experience. We are developing annotation-based image retrieval techniques and knowledge-management support for large geo-spatial image repositories incorporating sketch-based querying for image retrieval and manipulation. Leveraging interactive task knowledge to support current user goals requires a smart system that can perform knowledge capture. This paper describes our initial work in intelligent annotation-based image retrieval for geo-spatial imagery systems and presents the task-based knowledge management environment we have developed to support such retrieval.
引用
收藏
页码:535 / 544
页数:10
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