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Video Retrieval Using Semantic Data

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State-of-the-Art in Content-Based Image and Video Retrieval

Part of the book series: Computational Imaging and Vision ((CIVI,volume 22))

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Abstract

For the practical use of video retrieval systems, access must be provided so as to bridge the semantic gap between the system and users. Semiotics, which is concerned with the production of sense and of the way in which it is received by humans appears as the formal background for this goal. According to semiotics, semantics can be extracted at different levels of signification through a suitable set of rules which combine visual and auditory signs. Following semiotics, also an intermediate semantic level, which has to do with the combination of low-level signs, like color, motion, shapes and their changes through time, accounts for the video expressiveness and the emotions provoked.

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Author information

Authors and Affiliations

  1. Dipartimento di Sistemi e Informatica, University of Florence, Via S.Marta 3, 50139, Firenze, Italy

    Alberto Del Bimbo

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  1. Alberto Del Bimbo
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Editor information

Editors and Affiliations

  1. Utrecht University, The Netherlands

    Remco C. Veltkamp

  2. University of Freiburg, Germany

    Hans Burkhardt

  3. University of Munich, Germany

    Hans-Peter Kriegel

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© 2001 Springer Science+Business Media Dordrecht

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Del Bimbo, A. (2001). Video Retrieval Using Semantic Data. In: Veltkamp, R.C., Burkhardt, H., Kriegel, HP. (eds) State-of-the-Art in Content-Based Image and Video Retrieval. Computational Imaging and Vision, vol 22. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9664-0_13

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  • DOI: https://doi.org/10.1007/978-94-015-9664-0_13

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5863-8

  • Online ISBN: 978-94-015-9664-0

  • eBook Packages: Springer Book Archive

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