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Saliency-Guided Video Deinterlacing

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Book cover Computational Collective Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9330))

Abstract

Video deinterlacing is a technique wherein the interlaced video format is converted into progressive scan format for nowadays display devices. In this paper a spatial saliency-guided motion compensated deinterlacing method is proposed: our algorithm classifies the field according to its texture and viewer’s region of interest and adapts the motion estimation and compensation, as well as the saliency-guided interpolation in order to ensure high quality frame reconstruction. The experimental results show significant improvement of the proposed method over classical motion compensated and adaptive deinterlacing techniques.

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Author information

Authors and Affiliations

  1. Institut Superieur d’Electronique de Paris, 28 rue Notre Dame des Champs, Paris, France

    Maria Trocan

  2. IEMN (UMR CNRS 8520) Department OAE, Valenciennes University, 59313, Valenciennes Cedex 9, France

    François-Xavier Coudoux

Authors
  1. Maria Trocan
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  2. François-Xavier Coudoux
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Corresponding author

Correspondence to Maria Trocan .

Editor information

Editors and Affiliations

  1. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  2. Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Computer Science Department, Universidad Autónoma De Madrid, Madrid, Spain

    David Camacho

  4. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Trocan, M., Coudoux, FX. (2015). Saliency-Guided Video Deinterlacing. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-24306-1_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24305-4

  • Online ISBN: 978-3-319-24306-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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