Transmission rate prediction of VBR motion image using the kalman filter

Authors:
Won Kim;Hyo-Jong Jang;Gye-Young Kim
Affiliations:
School of Industrial Design & Art, Jeonju Kijeon College, Korea;School of Computing, SoongSil University, Korea;School of Computing, SoongSil University, Korea
Venue:
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Year:
2006

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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.