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Knowledge Sources for Understanding and Describing Image Sequences

  • Conference paper
GWAI-82

Part of the book series: Informatik-Fachberichte ((INFORMATIK,volume 58))

Abstract

The task of understanding image sequences is viewed in terms of processes which exploit various knowledge sources to derive increasingly meaningful descriptions from raw image data. The first part of the article deals with low-level vision. Recent work is surveyed with respect to underlying assumptions about the real world and the image formation process. In the second part object recognition is discussed. Shape knowledge must be augmented by special knowledge which supports the recognition process. Finally, work on motion understanding is reviewed with respect to the knowledge required for recognizing higher-level concepts.

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Author information

Authors and Affiliations

  1. Fachbereich Informatik, Universität Hamburg, Schlüterstraße 70, D-2000, Hamburg 13, Germany

    Bernd Neumann

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  1. Bernd Neumann
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Editors and Affiliations

  1. Forschungsstelle für Informationswissenschaft und Künstliche Intelligenz, Universität Hamburg, Mittelweg 179, 2000, Hamburg 13, Germany

    Wolfgang Wahlster (Vorsitzender des Programmkomitees) (Vorsitzender des Programmkomitees)

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© 1982 Springer-Verlag Berlin Heidelberg

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Neumann, B. (1982). Knowledge Sources for Understanding and Describing Image Sequences. In: Wahlster, W. (eds) GWAI-82. Informatik-Fachberichte, vol 58. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-68826-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-68826-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-11960-9

  • Online ISBN: 978-3-642-68826-3

  • eBook Packages: Springer Book Archive

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