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Proceedings Paper

Toward a logical reconstruction of image retrieval
Author(s): Carlo Meghini
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Paper Abstract

The paper addresses a fundamental problem for image retrieval systems: how is the content information to be used in answering user queries? Our answer to this question is a retrieval model based on logic that offers: (a) an abstract representation of the visual appearance of an image allowing to incorporate in a principled way any image retrieval technique based on the similarity of physical features such as region, color, and shape: (b) a semantic data modeling styled representation of the image content, independent from how the content information is obtained; (c) a functional representation of the association between portions of the image form and content objects. These three-leveled image representations are queried via a logical language spanning along four dimensions: the visual dimension, in which queries are images themselves, and the content, mapping, and spatial dimensions, in which queries are symbolic expressions. An image is retrieved in response to a query if it satisfies, in a logical sense, the query.

Paper Details

Date Published: 13 March 1996
PDF: 12 pages
Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); doi: 10.1117/12.234788
Show Author Affiliations
Carlo Meghini, CNR Istituto di Elaborazione dell'Informazione (Italy)


Published in SPIE Proceedings Vol. 2670:
Storage and Retrieval for Still Image and Video Databases IV
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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