• DocumentCode
    1799070
  • Title

    F-divergences driven video key frame extraction

  • Author

    Xiaoxiao Luo ; Qing Xu ; Sbert, Mateu ; Schoeffmann, Klaus

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2014
  • fDate
    14-18 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a shot-based key frame selection technique, aiming at generating a condensed set of frames representing the essential content of a video sequence. Inspired by the successful utilization of Jensen-Shannon Divergence (JSD) and Jensen-Rényi Divergence (JRD) for key frame selection [1] [2], we investigate several popularly accepted f-divergences for calculating the frame-by-frame distance to segment the video clip and then to obtain the key frames. Based on simulation and real test videos, the performances of the key frame selection method by using different versions of f-divergences are systematically analyzed. Extensive experimentation shows that, compared with the methods using JSD and JRD, the new technique is slightly better and computationally faster.
  • Keywords
    image sequences; video signal processing; F-divergences driven video key frame extraction; JRD; JSD; Jensen-Rényi divergence; Jensen-Shannon divergence; shot-based key frame selection technique; video sequence; Analytical models; Cameras; Computational modeling; Entropy; Interpolation; Measurement; Probability distribution; Jensen-Rényi Divergence (JRD); Jensen-Shannon Divergence (JSD); f-divergences; key frame selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2014 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/ICME.2014.6890282
  • Filename
    6890282