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Browsing Linked Video Collections for Media Production

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MultiMedia Modeling (MMM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8326))

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Abstract

This paper describes a video browsing tool for media (post-) production, enabling users to efficiently find relevant media items for redundant and sparsely annotated content collections. Users can iteratively cluster the content set by different features, and restrict the content set by selecting a subset of clusters. In addition to clustering by features, similarity search by different features is supported, and a set of linked video segments can be explored for a segment of interest. Desktop and Web-based variants of the user interface, including temporal preview functionality, are available.

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References

  1. Information technology - multimedia content description interface - part 9: Profiles and levels, amendment 1: Extensions to profiles and levels. ISO/IEC 15938-9:2005/Amd1:2012 (2012)

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  2. Bailer, W., Weiss, W., Kienast, G., Thallinger, G., Haas, W.: A video browsing tool for content management in post-production. International Journal of Digital Multimedia Broadcasting (March 2010)

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  3. Lokaj, M., Stiegler, H., Bailer, W.: The Search and Hyperlinking Task at MediaEval 2013. In: MediaEval 2013 Workshop, Barcelona, Spain, October 18-19 (2013)

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  4. Lowe, D.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)

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Author information

Authors and Affiliations

  1. JOANNEUM RESEARCH Forschungsgesellschaft mbH DIGITAL - Institute for Information and Communication Technologies, Steyrergasse 17, 8010, Graz, Austria

    Werner Bailer, Wolfgang Weiss, Christian Schober & Georg Thallinger

Authors
  1. Werner Bailer
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  2. Wolfgang Weiss
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  3. Christian Schober
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  4. Georg Thallinger
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Editor information

Editors and Affiliations

  1. School of Computing, Dublin City University, 9, Dublin, Ireland

    Cathal Gurrin

  2. Fakultät IV für Elektrotechnik und Informatik, Technische Universität Berlin / DAI-Labor, 10587, Berlin, Germany

    Frank Hopfgartner

  3. Department of Information and Computing Sciences, Universiteit Utrecht, 3584, Utrecht, CC, The Netherlands

    Wolfgang Hurst

  4. UiT The Arctic University of Norway, 9019, Tromsø, Norway

    HÃ¥vard Johansen

  5. Singapore University of Technology and Design, Singapore

    Hyowon Lee

  6. School of Electrical Engineering, Dublin City University, Ireland

    Noel O’Connor

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© 2014 Springer International Publishing Switzerland

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Bailer, W., Weiss, W., Schober, C., Thallinger, G. (2014). Browsing Linked Video Collections for Media Production. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8326. Springer, Cham. https://doi.org/10.1007/978-3-319-04117-9_47

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  • DOI: https://doi.org/10.1007/978-3-319-04117-9_47

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04116-2

  • Online ISBN: 978-3-319-04117-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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