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Modeling the Energy Consumption of the HEVC Decoding Process

: Herglotz, C.; Springer, D.; Reichenbach, M.; Stabernack, B.; Kaup, A.


IEEE transactions on circuits and systems for video technology 28 (2018), Nr.1, S.217-229
ISSN: 1051-8215
ISSN: 1558-2205
Fraunhofer HHI ()

In this paper, we present a bit stream feature-based energy model that accurately estimates the energy required to decode a given High Efficiency Video Coding-coded bit stream. Therefore, we take a model from literature and extend it by explicitly modeling the in-loop filters, which was not done before. Furthermore, to prove its superior estimation performance, it is compared with seven different energy models from the 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 the literature by reaching framewise mean estimation errors of less than 7% for software and less than 15% for hardware-based systems.