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Buffering Hierarchical Representation of Color Video Streams for Interactive Object Selection

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9386))

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Abstract

Interactive video editing and analysis has a broad impact but it is still a very challenging task. Real-time video segmentation requires carefully defining how to represent the image content, and hierarchical models have shown their ability to provide efficient ways to access color image data. Furthermore, algorithms allowing fast construction of such representations have been introduced recently. Nevertheless, these methods are most often unable to address (potentially endless) video streams, due to memory limitations. In this paper, we propose a buffering strategy to build a hierarchical representation combining color, spatial, and temporal information from a color video stream. We illustrate its relevance in the context of interactive object selection.

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Author information

Authors and Affiliations

  1. Université Bretagne Sud, UMR 6074 IRISA, 56000, Vannes, France

    François Merciol & Sébastien Lefèvre

Authors
  1. François Merciol
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  2. Sébastien Lefèvre
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Corresponding author

Correspondence to Sébastien Lefèvre .

Editor information

Editors and Affiliations

  1. Dipartimento di Matematica e Informatica, Università di Catania, Catania, Catania, Italy

    Sebastiano Battiato

  2. Arcueil CX, France

    Jacques Blanc-Talon

  3. Catania, Italy

    Giovanni Gallo

  4. Gent, Belgium

    Wilfried Philips

  5. CSIRO, Sydney, New South Wales, Australia

    Dan Popescu

  6. Vision Lab., University of Antwerp, Antwerpen, Belgium

    Paul Scheunders

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© 2015 Springer International Publishing Switzerland

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Merciol, F., Lefèvre, S. (2015). Buffering Hierarchical Representation of Color Video Streams for Interactive Object Selection. In: Battiato, S., Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2015. Lecture Notes in Computer Science(), vol 9386. Springer, Cham. https://doi.org/10.1007/978-3-319-25903-1_74

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  • DOI: https://doi.org/10.1007/978-3-319-25903-1_74

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25902-4

  • Online ISBN: 978-3-319-25903-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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