Visual retrieval of documents based on their multi-aspect utility assessment

Authors:
Juliusz L. Kulikowski;Malgorzata Przytulska
Affiliations:
M. Nalecz Institute of Biocybernetics and Biomedical Engineering PAS, Warsaw, Poland;M. Nalecz Institute of Biocybernetics and Biomedical Engineering PAS, Warsaw, Poland
Venue:
Machine Graphics & Vision International Journal - Special issue on Image Databases
Year:
2010

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Visualization

Abstract

Differences between textual and visual documents retrieval problems are described. It is shown that retrieval of visual documents in experimental data bases requires assessment of image utility and taking it into consideration. A definition of multi-aspect image usefulness measure is proposed. A multi-aspect measure of similarity of images based on their quantitative and/or qualitative features is also proposed. The general concept is illustrated by examples of using morphological spectra as a source of parameters useful in the assessing similarity of some classes of biomedical images. The basic structure and properties of an Image Analysis and Selection System (IASS) are presented as an example of practical realization of the visual documents retrieval methods.