论文标题
低参数模型，用于VVC残差编码的比特率估计
A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding
论文作者
论文摘要
视频压缩中有许多任务需要快速的比特率估计。例如，速率控制算法仅是可行的，因为可以估算所需的比特速率而无需编码整个块。随着剩余编码技术变得越来越复杂，相应的比特率模型需要更高级的功能。在这项工作中，我们提出了一组四个功能以及线性模型，该模型能够估计使用VVC标准压缩的任意残留块的速率。我们的方法在平均绝对误差和平均相对误差方面都优于用于相同任务的其他方法。在大型自然图像数据集上，我们的模型平均偏离不到4位。
There are many tasks within video compression which require fast bit rate estimation. As an example, rate-control algorithms are only feasible because it is possible to estimate the required bit rate without needing to encode the entire block. With residual coding technology becoming more and more sophisticated, the corresponding bit rate models require more advanced features. In this work, we propose a set of four features together with a linear model, which is able to estimate the rate of arbitrary residual blocks which were compressed using the VVC standard. Our method outperforms other methods which were used for the same task both in terms of mean absolute error and mean relative error. Our model deviates by less than 4 bit on average over a large dataset of natural images.
