• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Transmission Control of Video Data through Prediction and Shot Transition Detection


Lee Keun-Soo, Kim Won, Journal of Internet Computing and Services, Vol. 5, No. 6, pp. 59-66, Dec. 2004
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Keywords: video streaming, Kalman filter, shot transition detection, MPEG

Abstract

In this paper, we propose a transmission rate prediction method of video data. The proposed method checks shot transition characteristics after dividing MPEG video data into a GoP unit and then uses Kalman filter. It used algorithm to detect shot transition information by high speed in compressed domain in order to check a correct shot transition of video data and classified into a abrupt shot transition type and a gradual shot transition type. Information to have been classifying is used as factors of Kalman filter and predicts a transmission rate of video data. Also, the proposed method decreased processing time with detecting shot transition and predicting a transmission rate of video data in compressed domain. It predicted a transmission rate with 96.2- 97.6% in the experiment that used three kinds of 911 1frames of different video data.


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Cite this article
[APA Style]
Keun-Soo, L. & Won, K. (2004). Transmission Control of Video Data through Prediction and Shot Transition Detection. Journal of Internet Computing and Services, 5(6), 59-66.

[IEEE Style]
L. Keun-Soo and K. Won, "Transmission Control of Video Data through Prediction and Shot Transition Detection," Journal of Internet Computing and Services, vol. 5, no. 6, pp. 59-66, 2004.

[ACM Style]
Lee Keun-Soo and Kim Won. 2004. Transmission Control of Video Data through Prediction and Shot Transition Detection. Journal of Internet Computing and Services, 5, 6, (2004), 59-66.