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.
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Kim, W., Jang, HJ., Kim, GY. (2006). Transmission Rate Prediction of VBR Motion Image Using the Kalman Filter. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751588_12
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DOI: https://doi.org/10.1007/11751588_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34072-0
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