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Hellenic Conference on Artificial Intelligence

SETN 2004: Methods and Applications of Artificial Intelligence pp 486–495Cite as

Semi-automatic Extraction of Semantics from Football Video Sequences

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3025))

Abstract

In this paper we use a knowledge based inference model in combination with knowledge stored in a domain specific ontologies to organize and combine semantically-related entities, within multimedia documents in order to extract semantics from video sequences. The simulation results demonstrate that is possible to extract high-level information from video if low-level features are extracted with high precision. Within the scope of this work we are not particularly interested in the method by which the low level features are extracted from the video.

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Author information

Authors and Affiliations

  1. Image, Video and Multimedia Laboratory, Institute for Computer and Communication Systems, Department of electrical and Computer Engineering, National Technical University of Athens, Greece

    Vassilis Tzouvaras, Giorgos Stamou & Stefanos Kollias

Authors
  1. Vassilis Tzouvaras
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  2. Giorgos Stamou
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  3. Stefanos Kollias
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Editor information

Editors and Affiliations

  1. Info and Communication Systems Eng, Aegean University, 83200, Karlovassi, Samos, Greece

    George A. Vouros

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    Themistoklis Panayiotopoulos

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© 2004 Springer-Verlag Berlin Heidelberg

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Tzouvaras, V., Stamou, G., Kollias, S. (2004). Semi-automatic Extraction of Semantics from Football Video Sequences. In: Vouros, G.A., Panayiotopoulos, T. (eds) Methods and Applications of Artificial Intelligence. SETN 2004. Lecture Notes in Computer Science(), vol 3025. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24674-9_51

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  • DOI: https://doi.org/10.1007/978-3-540-24674-9_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21937-8

  • Online ISBN: 978-3-540-24674-9

  • eBook Packages: Springer Book Archive

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