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General Highlight Detection in Sport Videos

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Book cover Advances in Multimedia Modeling (MMM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5371))

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Abstract

Attention is a psychological measurement of human reflection against stimulus. We propose a general framework of highlight detection by comparing attention intensity during the watching of sports videos. Three steps are involved: adaptive selection on salient features, unified attention estimation and highlight identification. Adaptive selection computes feature correlation to decide an optimal set of salient features. Unified estimation combines these features by the technique of multi-resolution auto-regressive (MAR) and thus creates a temporal curve of attention intensity. We rank the intensity of attention to discriminate boundaries of highlights. Such a framework alleviates semantic uncertainty around sport highlights and leads to an efficient and effective highlight detection. The advantages are as follows: (1) the capability of using data at coarse temporal resolutions; (2) the robustness against noise caused by modality asynchronism, perception uncertainty and feature mismatch; (3) the employment of Markovian constrains on content presentation, and (4) multi-resolution estimation on attention intensity, which enables the precise allocation of event boundaries.

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Author information

Authors and Affiliations

  1. Department of Computing Science, University of Glasgow, 17 Lilybank Gardens, Glasgow, UK

    Reede Ren & Joemon M. Jose

Authors
  1. Reede Ren
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  2. Joemon M. Jose
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Editor information

Editors and Affiliations

  1. Eurécom, 2229, route des crêtes, 06904, Sophia-Antipolis, France

    Benoit Huet

  2. Dublin City University, Dublin, Ireland

    Alan Smeaton

  3. Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA

    Ketan Mayer-Patel

  4. Image, Video and Multimedia Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 157 80, Athens, Greece

    Yannis Avrithis

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© 2009 Springer-Verlag Berlin Heidelberg

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Ren, R., Jose, J.M. (2009). General Highlight Detection in Sport Videos. In: Huet, B., Smeaton, A., Mayer-Patel, K., Avrithis, Y. (eds) Advances in Multimedia Modeling . MMM 2009. Lecture Notes in Computer Science, vol 5371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92892-8_5

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  • DOI: https://doi.org/10.1007/978-3-540-92892-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92891-1

  • Online ISBN: 978-3-540-92892-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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