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DAG-based visual interfaces for navigation in indexed video content

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Abstract

Indexing and segmenting of video content by motion, color and texture has been intensively explored leading to a commonly used representation in a storyboard. In this paper, a novel method of visualization of video content is proposed. First of all, the content is segmented into shots, and then a spatio-temporal color signature of shots, based on color distribution in the frames, is proposed. This spatio-temporal color signature serves as a basis for graph clustering and graph visualization tools. Those, integrated in a platform for visualization of huge graphs, Tulip, supply an exciting graph-based navigation interface for multimedia content. The results obtained on feature documentaries are promising.

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Notes

  1. Download at www.tulip-software.org

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Acknowledgments

This work has been supported by a research grant of Region Aquitaine, France and by national French network in multimedia indexing “Pidot”. We would like to thank Professor Robson (LaBRI) who improved the English style of this paper.

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Authors and Affiliations

  1. LaBRI CNRS UMR 5800/Université Bordeaux 1, Bordeaux, France

    Maylis Delest, Anthony Don & Jenny Benois-Pineau

Authors
  1. Maylis Delest
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  2. Anthony Don
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  3. Jenny Benois-Pineau
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Corresponding author

Correspondence to Maylis Delest.

Additional information

This work was supported by the Conseil Régional d'Aquitaine and the STIC Department of the “Centre National de la Recherche Scientifique.”

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Delest, M., Don, A. & Benois-Pineau, J. DAG-based visual interfaces for navigation in indexed video content. Multimed Tools Appl 31, 51–72 (2006). https://doi.org/10.1007/s11042-006-0032-4

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