The analysis and overview of semantic image interpretation

Author

Ivasic-Kos, Marina ; Pavlic, Mile ; Poscic, Patrizia

Author_Institution

Dept. for Comput. Sci., Univ. in Rijeka, Rijeka, Croatia

fYear

2009

fDate

22-25 June 2009

Firstpage

181

Lastpage

186

Abstract

Currently, the main challenge of CBIR is bridging the so-called semantic gap. A question emerges whether visual similarity is reliable for grading semantic similarity and how complex the problem of semantic interpretation of an image really is? Using the UML class diagram, a model for semantic interpretation of general images is presented. A general model for still images of outdoor and indoor scenes is defined, independent of domain the image belongs to and the objects it contains. Analysis and visual presentation of key model elements aid in observing the problem in whole and simplify the process of finding new solutions.

Keywords

Unified Modeling Language; image processing; image retrieval; programming language semantics; CBIR; UML class diagram; Unified Modeling Language; content based image retrieval; semantic gap; semantic image interpretation; still image; visual similarity; Image analysis; Information technology; Image semantics; UML modelling; class diagram;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology Interfaces, 2009. ITI '09. Proceedings of the ITI 2009 31st International Conference on

Conference_Location

Dubrovnik

ISSN

1330-1012

Print_ISBN

978-953-7138-15-8

Type

conf

DOI

10.1109/ITI.2009.5196076

Filename

5196076