Abstract
This paper proposes an adaptive frame layer rate control scheme for H.264 by introducing a linear model to predict the mean absolute difference (MAD) of current frame by that of previous one. The target bit rate for each frame is computed by adopting a fluid flow traffic model and linear tracking theory. The corresponding quantization parameter is computed by using a quadratic rate-distortion model. The rate distortion optimization (RDO) is then performed for all macroblocks (MBs) in the current frame by the quantization parameter. Both constant bit rate (CBR) and variable bit rate (VBR) cases are studied. The average PSNR is improved up to 0.75 dB compared to an encoder with fixed quantization parameter.
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