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Architecture of Database Index for Content-Based Image Retrieval Systems

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Artificial Intelligence and Soft Computing (ICAISC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10842))

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Abstract

In this paper, we present a novel database index architecture for retrieving images. Effective storing, browsing and searching collections of images is one of the most important challenges of computer science. The design of architecture for storing such data requires a set of tools and frameworks such as relational database management systems. We create a database index as a DLL library and deploy it on the MS SQL Server. The CEDD algorithm is used for image description. The index is composed of new user-defined types and a user-defined function. The presented index is tested on an image dataset and its effectiveness is proved. The proposed solution can be also be ported to other database management systems.

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Author information

Authors and Affiliations

  1. Computer Vision and Data Mining Lab, Institute of Computational Intelligence, Czȩstochowa University of Technology, Al. Armii Krajowej 36, 42-200, Czȩstochowa, Poland

    Rafał Grycuk, Patryk Najgebauer & Rafał Scherer

  2. Information Technology Institute, University of Social Sciences, 90-113, Lodz, Poland

    Agnieszka Siwocha

  3. Clark University, Worcester, MA, 01610, USA

    Agnieszka Siwocha

Authors
  1. Rafał Grycuk
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  2. Patryk Najgebauer
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  3. Rafał Scherer
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  4. Agnieszka Siwocha
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Corresponding author

Correspondence to Rafał Scherer .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Grycuk, R., Najgebauer, P., Scherer, R., Siwocha, A. (2018). Architecture of Database Index for Content-Based Image Retrieval Systems. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2018. Lecture Notes in Computer Science(), vol 10842. Springer, Cham. https://doi.org/10.1007/978-3-319-91262-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-91262-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91261-5

  • Online ISBN: 978-3-319-91262-2

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