可扩展视频编码的率失真建模

M. Ardestani, A. Beheshti, M. Hashemi
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引用次数: 13

摘要

可扩展的视频编码允许编码码流的后编码适应。适当的嵌入比特流率失真模型可用于推导可伸缩编码器参数与时变信道条件值之间的封闭关系。通过定义良好的模型,自适应机制可以在每个传输周期内快速更新编码器参数的最优值,从而实现实时实现。本文建立了基于运动补偿时间滤波(MCTF)和二维(空间)离散小波变换(2D-DWT)的可扩展视频编码器的两个简单而准确的经验(双曲和指数)模型来建模速率失真特性。实验结果表明,双曲模型相对于实际测量值具有可接受的近似误差(0.2~0.85dB),而指数模型相对于实际测量值具有较大的误差(0.75~3dB)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rate-distortion modeling for scalable video coding
Scalable video coding allows for post-encoding adaptation of the coded bit stream. An appropriate ratedistortion model of the embedded bit stream can be useful for deriving closed-form relations between the parameters of the scalable encoder and the time-varying channel condition values. With a well-defined model, an adaptation mechanism can quickly update the optimal values of the encoder parameters within each transmission period, and hence, a real-time implementation may be realized. In this paper, two simple and accurate empirical (hyperbolic and exponential) models are developed for modeling the rate-distortion characteristics of a scalable video encoder based on motion-compensated temporal filtering (MCTF) and two-dimensional (spatial) discrete wavelet transform (2D-DWT). The experimental results demonstrate that the hyperbolic model has an acceptable approximation error (0.2~0.85dB) relative to the actual measurements, however, the exponential model demonstrates more error (0.75~3dB) relative to the actual measurements.
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