  In this paper, we present a bit stream feature based energy model that
accurately estimates the energy required to decode a given HEVC-coded bit
stream. Therefore, we take a model from literature and extend it by explicitly
modeling the inloop filters, which was not done before. Furthermore, to prove
its superior estimation performance, it is compared to seven different energy
models from literature. By using a unified evaluation framework we show how
accurately the required decoding energy for different decoding systems can be
approximated. We give thorough explanations on the model parameters and explain
how the model variables are derived. To show the modeling capabilities in
general, we test the estimation performance for different decoding software and
hardware solutions, where we find that the proposed model outperforms the
models from literature by reaching frame-wise mean estimation errors of less
than 7% for software and less than 15% for hardware based systems.
