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Proceedings Paper

Query paradigm to discover the relation between text and images
Author(s): Simone Santini
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Paper Abstract

This paper studies the relation between images and text in image databases. An analysis of this relation results in the definition of three distinct query modalities: (1) linguistic scenario: images are part of a whole including a self-contained linguistic discourse, and their meaning derives form their interaction with the linguistic discourse. A typical case of this scenario is constituted by images on the World Wide Web; (2) closed world scenario: images are defined in a limited domain, and their meaning is anchored by conventions and norms in that domain; (3) user scenario: the linguistic discourse is provided by the user. This is the case of highly interactive systems with relevance feedback. This paper deals with image databases of the first type. It shows how the relation between images and text can be inferred, and exploited for search. The paper develops a similarity model in which the similarity between two images is given by both their visual similarity and the similarity of the attached words. Both the visual and textural similarity can be manipulated by the user through the two windows of the interface.

Paper Details

Date Published: 1 January 2001
PDF: 11 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410924
Show Author Affiliations
Simone Santini, Parja, Inc. and Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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