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Automatic Dissolve Detection Scheme Based on Visual Rhythm Spectrum

  • Seong Jun Park
  • Kwang-Deok Seo
  • Jae-Gon Kim
  • Samuel Moon-Ho Song
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3767)

Abstract

The automatic video parser, a necessary tool for the development and maintenance of a video library, must accurately detect video scene changes so that the resulting video clips can be indexed in some fashion and stored in a video database. Abrupt scene changes and wipes are detected fairly well. However, dissolve changes have been often missed. In this paper, we propose a robust dissolve detection scheme based on Visual Rhythm Spectrum. The Visual Rhythm Spectrum contains distinctive patterns or visual features for many different types of video effects. The efficiency of the proposed scheme is demonstrated using a number of video clips and some performance comparisons are made with other existing approaches.

Keywords

Window Size Discrete Cosine Transform Visual Feature Video Clip Inverse Discrete Cosine Transform 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Seong Jun Park
    • 1
  • Kwang-Deok Seo
    • 2
  • Jae-Gon Kim
    • 3
  • Samuel Moon-Ho Song
    • 4
  1. 1.Mobile Handset R&D CenterLG Electronics Inc.SeoulKorea
  2. 2.Computer & Telecommunications Engineering DivisionYonsei Univ.GangwondoKorea
  3. 3.Broadcasting Media Research GroupETRIDaejeonKorea
  4. 4.School of Mechanical and Aerospace EngineeringSeoul National Univ.SeoulKorea

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