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Model-based rate control implementation for low-power video communications systems

机译:低功率视频通信系统的基于模型的速率控制实现

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摘要

This paper focuses on a major requirement of rate control (RC) algorithms when implementing a low-power video coding system: RC must be compatible with a one-pass, sequential and local processing of the frame data. This requirement prevents direct use of the most efficient RC algorithms, i.e., the ones that rely on rate-distortion (R-D) models whose parameters are computed from a pre-analysis of the input frame. The paper proposes to circumvent the problem by predicting the R-D model parameter(s) without accessing the current input frame data. It avoids the pre-analysis stage while keeping the benefit from R-D based rate control. The method is designed and illustrated for standardized and conventional hybrid coding schemes (H.26x, MPEG-x). Specifically, the mean absolute difference (MAD) of the motion prediction error, which is the key R-D model parameter, is predicted before the sequential processing of the input blocks. In order to validate the prediction, the behaviors of rate control systems using either the actual (computed) or the estimated (predicted) MAD parameter are compared.
机译:本文着重介绍实现低功耗视频编码系统时速率控制(RC)算法的主要要求:RC必须与帧数据的单遍,顺序和局部处理兼容。该要求阻止了直接使用最有效的RC算法,即依赖于率失真(R-D)模型的RC算法,其参数是根据输入帧的预分析来计算的。本文提出了通过预测R-D模型参数而不访问当前输入帧数据来解决该问题的方法。它避免了预分析阶段,同时保留了基于R-D的速率控制的好处。该方法是针对标准化和常规混合编码方案(H.26x,MPEG-x)设计和说明的。具体地,在输入块的顺序处理之前,预测作为关键的R-D模型参数的运动预测误差的平均绝对差(MAD)。为了验证预测,比较使用实际(计算的)或估计的(预测的)MAD参数的速率控制系统的行为。

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