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Transmission Rate Prediction of VBR Motion Image Using the Kalman Filter

  • Won Kim
  • Hyo-Jong Jang
  • Gye-Young Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3981)

Abstract

We propose a transmission rate prediction method of video data. The proposed method uses a Kalman filter for predicting transmission rate. It used algorithm to detect shot transition information by high speed in compressed domain in order to grasp precise shot transition of video data and classified into abrupt shot transition type and gradual shot transition type. Classified information is used as factors of Kalman filter and to predict transmission rate of video data. It predicted transmission rate with 96.2 ~  97.6% in the experiment.

Keywords

Transmission Rate Kalman Filter Video Data Measurement Vector State Transition Matrix 
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 2006

Authors and Affiliations

  • Won Kim
    • 1
  • Hyo-Jong Jang
    • 2
  • Gye-Young Kim
    • 2
  1. 1.School of Industrial Design & ArtJeonju Kijeon CollegeKorea
  2. 2.School of ComputingSoongSil UniversityKorea

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