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FCA-based browsing and searching of a collection of images
conference contribution
posted on 2006-01-01, 00:00 authored by J Ducrou, B Vormbrock, Peter EklundPeter EklundThis paper introduces ImageSleuth, a tool for browsing and searching annotated collections of images. It combines the methods of Formal Concept Analysis (FCA) for information retrieval with the graphical information conveyed in thumbnails. In order to use thumbnails of images to represent concept extents, line diagrams can not be efficiently utilised and thus other navigation methods are necessary. In addition to established methods like search and upper/lower neighbours, a query by example function and the possibility to restrict the attribute set are included. Moreover, metrics on conceptual distance and similarity are discussed and applied to automated discovery of relevant concepts. This paper describes the FCA base of ImageSleuth which formed the basis for its design and the implementation which followed. © Springer-Verlag Berlin Heidelberg 2006.
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Volume
4068 LNAIPagination
203 - 214Publisher DOI
ISSN
0302-9743eISSN
1611-3349ISBN-13
9783540358930ISBN-10
3540358935Publication classification
E1.1 Full written paper - refereedTitle of proceedings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Usage metrics
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