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

机译:低功耗视频通信系统的基于模型的速率控制实现

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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:本文侧重于速率控制(RC)算法在实现低功率视频编码系统时的主要要求:RC必须与帧数据的单通,顺序和本地处理兼容。该要求可防止直接使用最有效的RC算法,即依赖于从输入帧的预分析计算其参数的速率失真(R-D)模型的算法。本文通过在不访问当前输入帧数据的情况下预测R-D模型参数来规避问题。它避免了预分析阶段,同时保持基于R-D的速率控制。该方法被设计和说明,用于标准化和传统的混合编码方案(H.26x,MPEG-X)。具体地,在输入块的顺序处理之前预测了作为密钥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)或估计(预测)MAD参数的速率控制系统的行为。

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