Using sketches and knowledge bases for geo-spatial image retrieval

Michela Bertolotto; J. D. Carswell; Eoin McLoughlin; Dymphna O'Sullivan; Davils Wilson

doi:10.1016/j.compenvurbsys.2004.03.001

Using sketches and knowledge bases for geo-spatial image retrieval

Michela Bertolotto, J. D. Carswell, Eoin McLoughlin, Dymphna O'Sullivan, Davils Wilson

Research output: Contribution to specialist publication › Article

Abstract

This paper presents research in the field of knowledge management for geo-spatial imagery including scanned aerial photos and satellite images. We have developed a web-based system that allows users to query a database of images not only using metadata, but also drawing sketches of configurations of objects they are interested in as well as inputting textual descriptions of their intended task. Our system integrates case-based reasoning techniques to form a knowledge base from previously issued queries that can be exploited to improve future query processing and to build organizational memory through experience capture. The effective design and implementation of a user-friendly graphic user interface plays an important role for the system to provide improved human-computer interaction and decision support.

Original language	English
Pages	29-53
Number of pages	25
Volume	30
No.	1
Specialist publication	Computers, Environment and Urban Systems
DOIs	https://doi.org/10.1016/j.compenvurbsys.2004.03.001
Publication status	Published - Jan 2006

Keywords

Geo-spatial imagery
Knowledge base
Sketch-based queries

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10.1016/j.compenvurbsys.2004.03.001

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title = "Using sketches and knowledge bases for geo-spatial image retrieval",

abstract = "This paper presents research in the field of knowledge management for geo-spatial imagery including scanned aerial photos and satellite images. We have developed a web-based system that allows users to query a database of images not only using metadata, but also drawing sketches of configurations of objects they are interested in as well as inputting textual descriptions of their intended task. Our system integrates case-based reasoning techniques to form a knowledge base from previously issued queries that can be exploited to improve future query processing and to build organizational memory through experience capture. The effective design and implementation of a user-friendly graphic user interface plays an important role for the system to provide improved human-computer interaction and decision support.",

keywords = "Geo-spatial imagery, Knowledge base, Sketch-based queries",

author = "Michela Bertolotto and Carswell, {J. D.} and Eoin McLoughlin and Dymphna O'Sullivan and Davils Wilson",

note = "Funding Information: The funding support of the Research Innovation Fund of Enterprise Ireland is gratefully acknowledged. ",

year = "2006",

month = jan,

doi = "10.1016/j.compenvurbsys.2004.03.001",

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AU - Carswell, J. D.

AU - McLoughlin, Eoin

AU - O'Sullivan, Dymphna

AU - Wilson, Davils

N1 - Funding Information: The funding support of the Research Innovation Fund of Enterprise Ireland is gratefully acknowledged.

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AB - This paper presents research in the field of knowledge management for geo-spatial imagery including scanned aerial photos and satellite images. We have developed a web-based system that allows users to query a database of images not only using metadata, but also drawing sketches of configurations of objects they are interested in as well as inputting textual descriptions of their intended task. Our system integrates case-based reasoning techniques to form a knowledge base from previously issued queries that can be exploited to improve future query processing and to build organizational memory through experience capture. The effective design and implementation of a user-friendly graphic user interface plays an important role for the system to provide improved human-computer interaction and decision support.

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JO - Computers, Environment and Urban Systems

JF - Computers, Environment and Urban Systems

ER -

Using sketches and knowledge bases for geo-spatial image retrieval

Abstract

Keywords

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