為使得影像位元率控制能夠更為有效地預測，本論文將探討如何做遠程的動態位元率影像預測來估計可能與目前幀距離遙遠的傳輸幀，根據q-domain的特性位元率模型，以量化後離散餘旋轉換參數的三個特性提高建立位元率模型的準確性，接著透過遠程傳輸預測方式估計預測幀的位元率，與ρ-domain遠程動態位元率預測能降低其預測誤差。

To improve the rate control of videos can be more efficiently, we focus on how to use long-span frame prediction to predict the traffic frame that is far from the current frame. We use three characteristics from the quantized discrete cosine transform coefficients of q-domain characteristic-based bit-rate model to enhance the accuracy of rate model. Then we extend the use of long-span traffic predictor to estimate the predicted frame, that the proposed prediction has lower prediction error compared with ρ-domain long-span predictor.

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