Incremental rate control algorithm on exponential rate distortion model

2010 ◽  
Vol 24 (9) ◽  
pp. 795-802
Author(s):  
Ling Tian ◽  
Yimin Zhou ◽  
Shixin Sun
2010 ◽  
Vol 108-111 ◽  
pp. 172-177 ◽  
Author(s):  
Ling Tian ◽  
Yi Min Zhou ◽  
Yu Sun ◽  
Shi Xin Sun

The Rate-Distortion model, which denotes relations among distortion, bit rate and quantization parameter for a video sequence, is a crucial issue in rate control. The quadratic R-D model has been widely used in H.264/AVC rate control because of its high performance. Since the adoption of Rate Distortion Optimization in H.264/AVC, the rate control algorithm is more complex than that of previous standards. In this paper, we firstly analyze the model error of the quadratic model, and then calculate the prediction error of MAD in H.264/AVC based on theoretical derivation and extensive experiments, finally propose a linear MAD model to predict the current MAD. Experimental results demonstrate that the proposed linear model gains higher prediction accuracy than the quadratic model.


2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Renjie Song ◽  
Yuandong Zhang

Aiming at the problems that the strategy of target bit allocation at the CTU layer has deviations from the human subjective observation mechanism, and the update phase of parametric model has a higher complexity in the JCTVC-K0103 rate control algorithm of ITU-T H.265/high efficiency video coding (HEVC) standard. Optimized rate control (ORC) algorithm of ITU-T H.265/HEVC based on region of interest (ROI) is proposed. Firstly, the algorithm extracts the region of interest of video frames based on time and space domains by using the improved Itti model. Then, the weight of target bits w is recalculated based on space-time domains to improve the rate control accuracy, and the target bits are distributed based on ROI by the adaptive weight algorithm once again to make the output videos more attuned with the human visual attention mechanism. Finally, the quasi-Newton algorithm is used to update the rate distortion model, which reduces the computational complexity in the update phase of the parametric model. The experimental results show that the ORC algorithm can obtain a better subjective quality in the compressed results with less bit error compared with the other two algorithms. Meanwhile, the rate distortion performance of the ORC algorithm is better on the premise of guaranteeing rate control performance.


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