Heuristics for image retrieval using spatial configurations
This paper describes a strategy for content-based image retrievalvia spatial configuration of objects within an image. The proposed strategy locates "pattern" images within "text" images, where the objects in each image are specified only in terms of their pairwise spatial relati...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
The University of Queensland
2003
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| Online Access: | http://hdl.handle.net/20.500.11937/13205 |
| _version_ | 1848748285462839296 |
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| author | Smyth, Bill Lam, Chiou Chen, X. Maxville, Valerie |
| author2 | Changming Sun |
| author_facet | Changming Sun Smyth, Bill Lam, Chiou Chen, X. Maxville, Valerie |
| author_sort | Smyth, Bill |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper describes a strategy for content-based image retrievalvia spatial configuration of objects within an image. The proposed strategy locates "pattern" images within "text" images, where the objects in each image are specified only in terms of their pairwise spatial relationships. Thus both pattern and text are represented by square matrices whose elements are drawn from an "alphabet" of spatial relationships. A match is found when the pattern image is identified as a "substructure" of a given text image. Experimental results relating to retrieval of images with low image content are shown. The approach can be used in situations where methods involving features such as colours and texture are inappropriate. We believe that such algorithms would find application in topological/GIS applications where the aerial/satellite images are very similar in terms of low-level image content. |
| first_indexed | 2025-11-14T07:02:37Z |
| format | Conference Paper |
| id | curtin-20.500.11937-13205 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:02:37Z |
| publishDate | 2003 |
| publisher | The University of Queensland |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-132052022-09-13T04:43:08Z Heuristics for image retrieval using spatial configurations Smyth, Bill Lam, Chiou Chen, X. Maxville, Valerie Changming Sun Hugues Talbot Sbastien Ourselin Tony Adriaansen This paper describes a strategy for content-based image retrievalvia spatial configuration of objects within an image. The proposed strategy locates "pattern" images within "text" images, where the objects in each image are specified only in terms of their pairwise spatial relationships. Thus both pattern and text are represented by square matrices whose elements are drawn from an "alphabet" of spatial relationships. A match is found when the pattern image is identified as a "substructure" of a given text image. Experimental results relating to retrieval of images with low image content are shown. The approach can be used in situations where methods involving features such as colours and texture are inappropriate. We believe that such algorithms would find application in topological/GIS applications where the aerial/satellite images are very similar in terms of low-level image content. 2003 Conference Paper http://hdl.handle.net/20.500.11937/13205 The University of Queensland restricted |
| spellingShingle | Smyth, Bill Lam, Chiou Chen, X. Maxville, Valerie Heuristics for image retrieval using spatial configurations |
| title | Heuristics for image retrieval using spatial configurations |
| title_full | Heuristics for image retrieval using spatial configurations |
| title_fullStr | Heuristics for image retrieval using spatial configurations |
| title_full_unstemmed | Heuristics for image retrieval using spatial configurations |
| title_short | Heuristics for image retrieval using spatial configurations |
| title_sort | heuristics for image retrieval using spatial configurations |
| url | http://hdl.handle.net/20.500.11937/13205 |