AAU Video Browser with Augmented Navigation Bars

  • Manfred Del Fabro
  • Bernd Münzer
  • Laszlo Böszörmenyi
Part of the Lecture Notes in Computer Science book series (LNCS, 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. 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)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Manfred Del Fabro
    • 1
  • Bernd Münzer
    • 1
  • Laszlo Böszörmenyi
    • 1
  1. 1.ITEC – Information TechnologyAlpen-Adria-Universität KlagenfurtAustria

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