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Spatial Representation of Object Location for Image Matching in CBIR

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New Research in Multimedia and Internet Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 314))

Abstract

At present a great deal of research is being done in different aspects of Content-Based Image Retrieval (CBIR). Representation of graphical object location in an image is one of the important tasks that must be dealt with in image DB as an intermediate stage prior to further image retrieval. The issue we address is the principal component analysis (PCA) applied to spatial representation of object location. We propose how to describe the object’s spatial location to use it later in the search engine for image comparison. In this paper, we present the promising results of image retrieval based on the number of objects in images, object spatial location and object similarity.

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Author information

Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warszawa, Poland

    Tatiana Jaworska

Authors
  1. Tatiana Jaworska
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Correspondence to Tatiana Jaworska .

Editor information

Editors and Affiliations

  1. Division of Information Systems, Wroclaw University of Technology Institute of Informatics, Wrocław, Poland

    Aleksander Zgrzywa

  2. Division of Information Systems Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Kazimierz ChoroÅ›

  3. Division of Information Systems Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Andrzej Siemiński

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Jaworska, T. (2015). Spatial Representation of Object Location for Image Matching in CBIR. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) New Research in Multimedia and Internet Systems. Advances in Intelligent Systems and Computing, vol 314. Springer, Cham. https://doi.org/10.1007/978-3-319-10383-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-10383-9_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10382-2

  • Online ISBN: 978-3-319-10383-9

  • eBook Packages: EngineeringEngineering (R0)

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