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EnglishWe introduce the virtual image, an iconic index suited for pictorial information access in a pictorial database, and a similarity retrieval approach based on virtual images to perform content-based retrieval. A virtual image represents the spatial information contained in a real image in explicit form by means of a set of spatial relations. This is useful to efficiently compute the similarity between a query and an image in the database. We also show that virtual images support real-world applications that require translation, reflection, and/or rotation invariance of image representation.
http://hdl.handle.net/11386/1071951| Titolo: | Virtual Images for Similarity Retrieval in Image Database |
| Autori interni: | TUCCI, Maurizio TORTORA, Genoveffa SEBILLO, Monica Maria Lucia |
| Data di pubblicazione: | 2001 |
| Rivista: | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING |
| Abstract: | We introduce the virtual image, an iconic index suited for pictorial information access in a pictorial database, and a similarity retrieval approach based on virtual images to perform content-based retrieval. A virtual image represents the spatial information contained in a real image in explicit form by means of a set of spatial relations. This is useful to efficiently compute the similarity between a query and an image in the database. We also show that virtual images support real-world applications that require translation, reflection, and/or rotation invariance of image representation. |
| Handle: | http://hdl.handle.net/11386/1071951 |
| Appare nelle tipologie: | 1.1.2 Articolo su rivista con ISSN |
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