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AAU Video Browser with Augmented Navigation Bars

  • Conference paper
Advances in Multimedia Modeling

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7733))

Abstract

We present an improved version of last year’s winner of the Video Browser Showdown. In a preprocessing step video segments are detected and clustered in several latent classes of similar content based on color and motion information. The navigation bars of our video browser are then augmented with different colors indicating where elements of the detected clusters are located. As humans are able to classify the content of clusters fast, they can benefit from this information when browsing through a video.

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References

  1. Del Fabro, M., Böszörmenyi, L.: AAU Video Browser: Non-Sequential Hierarchical Video Browsing without Content Analysis. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, C.-W., Andreopoulos, Y., Breiteneder, C. (eds.) MMM 2012. LNCS, vol. 7131, pp. 639–641. Springer, Heidelberg (2012)

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© 2013 Springer-Verlag Berlin Heidelberg

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Del Fabro, M., Münzer, B., Böszörmenyi, L. (2013). AAU Video Browser with Augmented Navigation Bars. In: Li, S., et al. Advances in Multimedia Modeling. Lecture Notes in Computer Science, vol 7733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35728-2_64

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  • DOI: https://doi.org/10.1007/978-3-642-35728-2_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35727-5

  • Online ISBN: 978-3-642-35728-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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