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Semantics Extraction from Images

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Knowledge-Driven Multimedia Information Extraction and Ontology Evolution

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6050))

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Abstract

An overview of the state-of-the-art on semantics extraction from images is presented. In this survey, we present the relevant approaches in terms of content representation as well as in terms of knowledge representation. Knowledge can be represented in either implicit or explicit fashion while the image is represented in different levels, namely, low-level, intermediate and semantic level. For each combination of knowledge and image representation, a detailed discussion is addressed that leads to fruitful conclusions for the impact of each approach.

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Authors and Affiliations

  1. Institute of Informatics and Telecommunications, NCSR “Demokritos”, 15310, Ag. Paraskevi, Athens, Greece

    Ioannis Pratikakis, Anastasia Bolovinou, Bassilios Gatos & Stavros Perantonis

  2. Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100, Xanthi, Greece

    Ioannis Pratikakis

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  1. Ioannis Pratikakis
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  2. Anastasia Bolovinou
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  3. Bassilios Gatos
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  4. Stavros Perantonis
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Editors and Affiliations

  1. Institute of Informatics and Telecommunications, National Centre for Scientific Research “Demokritos”, P.O. box 60228, 15310, Ag. Paraskevi, Athens, Greece

    Georgios Paliouras  & Constantine D. Spyropoulos  & 

  2. Biotechnology Center (BIOTEC), TU Dresden, Tatzberg 47-51, 01307, Dresden, Germany

    George Tsatsaronis

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© 2011 Springer-Verlag Berlin Heidelberg

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Pratikakis, I., Bolovinou, A., Gatos, B., Perantonis, S. (2011). Semantics Extraction from Images. In: Paliouras, G., Spyropoulos, C.D., Tsatsaronis, G. (eds) Knowledge-Driven Multimedia Information Extraction and Ontology Evolution. Lecture Notes in Computer Science(), vol 6050. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20795-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-20795-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20794-5

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