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Image Content Modeling

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  • First Online:
Encyclopedia of Database Systems

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Synonyms

Conceptual image data model; Image data model; Image metadata

Definition

Image Content Modeling deals with the issue of representing the content of image data, that is, designing the high- and low-level abstraction model of the raw image objects and their correlations to facilitate various operations. These operations may include media object selection, insertion, editing, indexing, browsing, querying, retrieval, and exchange. The image content model relies, therefore, on the extraction of feature vectors and their respective representations obtained during the annotation process. Several standards for representing the content of an image are known. The most prominent ones are MPEG-7 and JPSearch including low- and high-level abstractions or the EXIF data description vocabulary for the description of very specific technical attributes of an image.

Historical Background

Many models for describing the content of an image have been created in the past. Most of them rely on...

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Recommended Reading

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Author information

Authors and Affiliations

  1. University of Passau, Passau, Germany

    Harald Kosch

  2. University of Applied Sciences Kufstein, Kufstein, Austria

    Mario Döller

Authors
  1. Harald Kosch
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  2. Mario Döller
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Corresponding author

Correspondence to Harald Kosch .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. Dept. of Computer Science, New Jersey Inst. of Technology, University Heights, 7102, Newark, NJ, USA

    Vincent Oria

  2. Digital Content and Media Sciences ReseaMultimedia Information Research Division, National Institute of Informatics, Tokyo, Japan

    Shin'ichi Satoh

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Kosch, H., Döller, M. (2017). Image Content Modeling. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_1013-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_1013-2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4899-7993-3

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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