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Enhanced Signature-Based Video Browser

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 8936)

Abstract

The success of our Signature-Based Video Browser presented last year at Video Browser Showdown 2014 (now renamed to Video Search Showcase) was mainly based on effective filtering using position-color feature signatures, while browsing in the results comprising matched keyframes was based just on a simple sequential search approach. Since the results can consist of highly similar keyframes (e.g., news studio scenes) making the browsing more difficult, we have enhanced our tool with more advanced browsing techniques considering also homogeneous result sets obtained after filtering phase. Furthermore, we have utilized improved search models based on feature signatures to make the filtering phase more effective.

Keywords

  • Video Frame
  • Retrieval Model
  • Video Retrieval
  • Dominant Color
  • Shot Boundary

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-14442-9_22
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Blažek, A., Lokoč, J., Matzner, F., Skopal, T. (2015). Enhanced Signature-Based Video Browser. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8936. Springer, Cham. https://doi.org/10.1007/978-3-319-14442-9_22

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  • DOI: https://doi.org/10.1007/978-3-319-14442-9_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14441-2

  • Online ISBN: 978-3-319-14442-9

  • eBook Packages: Computer ScienceComputer Science (R0)