Properties and structure of fast text search engine in context of semantic image analysis

Authors:
Janusz Rygał;Patryk Najgebauer;Tomasz Nowak;Jakub Romanowski;Marcin Gabryel;Rafał Scherer
Affiliations:
Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

In the world of computer imaging, we still do not have a good and fast enough method for image searching. This is because science is still not able to imitate fully functions of the human brain. When humans think about images, they do not think about mathematical formulas, matrices, histograms etc. Those mathematical and algorithmic methods are very good for e.g. computer face detection or number plate recognition, but we cannot directly use them for analyzing a whole image and for searching in a set of thousands or even millions of images. On the other hand, computers are able to scan millions of documents, searching for some phrase or even a single word. Fast text search is fully supported by a majority of significant database systems such as Oracle, PostgreSQL or MS SQL Server. The paper presents fast text search engine from another point of view, that is, its application in content based image retrieval.