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A Concept of Visual Knowledge Representation

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Multimedia and Network Information Systems (MISSI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 833))

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Abstract

The image semantic representation is a very challenging task. This article presents a concept of using visual analysis to represent knowledge based on large amounts of massive, dynamic, ambiguous multimedia. This concept is based on the semantic representation of these visual resources. We argue that the most important factor in building a semantic representation is defining the ordered and hierarchical structure, as well as the relationships among entities. This concept has stemmed from the content-based image retrieval analysis.

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Notes

  1. 1.

    There are two notions called scale. A scale here means the size of the object represented by an image. In Subsect. 2.2 we use the notion scale, in fact, as a scale of measure which is different from the one described here.

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Author information

Authors and Affiliations

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

    Tatiana Jaworska

Authors
  1. Tatiana Jaworska
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Correspondence to Tatiana Jaworska .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Kazimierz Choroś

  2. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Marek Kopel

  3. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Elżbieta Kukla

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Siemiński

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Jaworska, T. (2019). A Concept of Visual Knowledge Representation. In: Choroś, K., Kopel, M., Kukla, E., Siemiński, A. (eds) Multimedia and Network Information Systems. MISSI 2018. Advances in Intelligent Systems and Computing, vol 833. Springer, Cham. https://doi.org/10.1007/978-3-319-98678-4_4

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