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@article{faucris.107689604,
abstract = {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
system},
author = {Herglotz, Christian and Springer, Dominic and Reichenbach, Marc and Stabernack, Benno and Kaup, André},
doi = {10.1109/TCSVT.2016.2598705},
faupublication = {yes},
journal = {IEEE Transactions on Circuits and Systems For Video Technology},
keywords = {decoder, energy, estimation, HEVC, model, power},
month = {Jan},
pages = {217-229},
peerreviewed = {Yes},
title = {{Modeling} the {Energy} {Consumption} of the {HEVC} {Decoding} {Process}},
volume = {28},
year = {2018}
}