  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.
