An Adaptive Rate Control Algorithm for RCBR Transmission of Streaming Video 


Vol. 27,  No. 2, pp. 146-156, Feb.  2002


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  Abstract

This paper presents an adaptive H.263+ rate control algorithm for streaming video applications under the networks supporting bandwidth renegotiation, which can communicate with end-users to accommodate their time-varying bandwidth requests during the data transmission. That is, the requests of end-users can be supported adaptively according to the availability of the network resources, and thus the overall network utilization can be improved simultaneously. They are especially suitable for the transmission of non-stationary video traffics. The proposed rate control algorithm communicates with the network to renegotiate the required bandwidth for the underlying video which are measured based on the motion change information, and choose their control strategies according to the renegotiation results. Unlike most conventional algorithms that control only the spatial quality by adjusting quantization parameters, the proposed algorithm treats both the spatial and temporal qualities at the same time to enhance human visual perceptual quality. Experimental results are provided to demonstrate that the proposed rate control algorithm can achieve superior performance to theconventional ones with low computational complexity under the networks supporting bandwidth renegotiation.

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  Cite this article

[IEEE Style]

H. Song, "An Adaptive Rate Control Algorithm for RCBR Transmission of Streaming Video," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 2, pp. 146-156, 2002. DOI: .

[ACM Style]

Hwangjun Song. 2002. An Adaptive Rate Control Algorithm for RCBR Transmission of Streaming Video. The Journal of Korean Institute of Communications and Information Sciences, 27, 2, (2002), 146-156. DOI: .

[KICS Style]

Hwangjun Song, "An Adaptive Rate Control Algorithm for RCBR Transmission of Streaming Video," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 2, pp. 146-156, 2. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880