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Graph Object Oriented Database for Semantic Image Retrieval

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Book cover Advances in Databases and Information Systems (ADBIS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6295))

Abstract

This paper presents a new method for image retrieval using a graph object oriented database for processing the information extracted from the image through the segmentation process and through the semantic interpretation of this information. The object oriented database schema is structured as a classes hierarchy based on graph data structure. A graph structure is used in all phases of the image processing: image segmentation, image annotation, image indexing and image retrieval. The experiments showed that the retrieval can be conducted with good results and the method has a good time complexity.

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Author information

Authors and Affiliations

  1. University of Craiova, Craiova, Bd. Decebal 107, Romania

    Eugen Ganea & Marius Brezovan

Authors
  1. Eugen Ganea
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  2. Marius Brezovan
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Editor information

Editors and Affiliations

  1. Department of Computer and Infoamtion Science, University of Genova, Via Dodecaneso, 35, 16146, Genova, Italy

    Barbara Catania

  2. Faculty of Science, Department of Mathematics and Informatics, University of Novi Sad, Trg Dositeja Obradovica 4, 21000, Novi Sad, Serbia

    Mirjana Ivanović

  3. Institute of Computer Science and Applied Mathematics, Christian-Albrechts-University of Kiel, Olshausenstr. 40, 24098, Kiel, Germany

    Bernhard Thalheim

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Ganea, E., Brezovan, M. (2010). Graph Object Oriented Database for Semantic Image Retrieval. In: Catania, B., Ivanović, M., Thalheim, B. (eds) Advances in Databases and Information Systems. ADBIS 2010. Lecture Notes in Computer Science, vol 6295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15576-5_46

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  • DOI: https://doi.org/10.1007/978-3-642-15576-5_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15575-8

  • Online ISBN: 978-3-642-15576-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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