A Bitstream Feature Based Model for Video Decoding Energy Estimation

Conference contribution


Publication Details

Author(s): Herglotz C, Wen Y, Dai B, Kränzler M, Kaup A
Publication year: 2016
Language: English


Abstract


In this paper we show that a small amount of

bit stream features can be used to accurately estimate the

energy consumption of state-of-the-art software and hardware

accelerated decoder implementations for four different video

codecs. By testing the estimation performance on HEVC, H.264,

H.263, and VP9 we show that the proposed model can be used

for any hybrid video codec. We test our approach on a high

amount of different test sequences to prove the general validity.

We show that less than 20 features are sufficient to obtain mean

estimation errors that are smaller than 8%. Finally, an example

will show the performance trade-offs in terms of rate, distortion,

and decoding energy for all tested codecs.



FAU Authors / FAU Editors

Herglotz, Christian Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Herglotz, C., Wen, Y., Dai, B., Kränzler, M., & Kaup, A. (2016). A Bitstream Feature Based Model for Video Decoding Energy Estimation. Nürnberg, DE.

MLA:
Herglotz, Christian, et al. "A Bitstream Feature Based Model for Video Decoding Energy Estimation." Proceedings of the Picture Coding Symposium, Nürnberg 2016.

BibTeX: 

Last updated on 2018-19-04 at 03:38