• DocumentCode
    999405
  • Title

    Detection of gradual transitions in video sequences using B-spline interpolation

  • Author

    Nam, JeHo ; Tewfik, Ahmed H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    7
  • Issue
    4
  • fYear
    2005
  • Firstpage
    667
  • Lastpage
    679
  • Abstract
    We present a novel technique for detecting the presence of a gradual transition in video sequences and automatically identifying its type. Our scheme focuses on analyzing the characteristics of the underlying special edit effects and estimates actual transitions by polynomial data interpolation. In particular, a B-spline interpolation curve fitting technique is used. We make use of "goodness" of fitting to determine the presence of gradual transitions. Our approach is able to recover the original transition behavior of an edit effect even if it is distorted by various post-processing stages. Our gradual transition detectors have been extensively tested on various genres of real video sequences to evaluate the performance of the proposed algorithms.
  • Keywords
    curve fitting; image sequences; polynomial approximation; splines (mathematics); video signal processing; wavelet transforms; B-spline interpolation; curve fitting technique; gradual scene changes; gradual transition detection; polynomial data interpolation; radon transform; shot boundary detection; temporal video segmentation; video sequences; wavelet representation; Continuous wavelet transforms; Curve fitting; Detectors; Gunshot detection systems; Interpolation; Layout; Polynomials; Spline; Testing; Video sequences; Dissolve; Radon transform; fade; gradual scene changes; shot boundary detection; splines; temporal video segmentation; wavelet representation; wipe;
  • fLanguage
    English
  • Journal_Title
    Multimedia, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1520-9210
  • Type

    jour

  • DOI
    10.1109/TMM.2005.843362
  • Filename
    1468152