13 March 1996 Toward a logical reconstruction of image retrieval
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carlo Meghini, "Toward a logical reconstruction of image retrieval", Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); doi: 10.1117/12.234788; https://doi.org/10.1117/12.234788

Image retrieval


Data modeling

Associative arrays

Image processing

Infrared imaging



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