Abstract
Perceptually adaptive bit allocation plays vital roles in efficient rate control to achieve rate distortion optimization in terms of perceptual video coding. This paper proposes a perceptually improved bit allocation scheme by employing a more accurate distortion model inspired by a state-of-the-art perceptual video quality metric. The contributions of this paper mainly involve the following three aspects. Firstly, a perceptual rate-distortion model is developed to shape the framework of perceptual video coding. Secondly, based on the characteristics of the model, an adaptively frame-level bit allocation scheme is proposed using the rate distortion optimization technology. Meanwhile, the status of the encoder buffer is also taken into account to avoid overflow or underflow. Finally, a macroblock-level quantization parameter adjustment is presented to improve perceptual video quality. Experimental results demonstrate that the whole proposed bit allocation scheme achieves better perceptual rate-distortion performance and guarantees the accuracy of rate control well.
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