Decoding Energy Modeling for Versatile Video Coding

Kränzler M, Herglotz C, Kaup A (2020)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Event location: Abu Dhabi AE

URI: https://doi.org/10.48550/arXiv.2209.10266

DOI: 10.1109/ICIP40778.2020.9190840

Abstract

In previous research, it was shown that the software decoding energy demand of High Efficiency Video Coding (HEVC) can be reduced by 15% by using a decoding-energy-rate-distortion optimization algorithm. To achieve this, the energy demand of the decoder has to be modeled by a bit stream feature-based model with sufficiently high accuracy. Therefore, we propose two bit stream feature-based models for the upcoming Versatile Video Coding (VVC) standard. The newly introduced models are compared with models from literature, which are used for HEVC. An evaluation of the proposed models reveals that the mean estimation error is similar to the results of the literature and yields an estimation error of 1.85% with 10-fold cross-validation.

Authors with CRIS profile

Matthias Kränzler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Kränzler, M., Herglotz, C., & Kaup, A. (2020). Decoding Energy Modeling for Versatile Video Coding. In Proceedings of the IEEE International Conference on Image Processing (ICIP). Abu Dhabi, AE.

MLA:

Kränzler, Matthias, Christian Herglotz, and André Kaup. "Decoding Energy Modeling for Versatile Video Coding." Proceedings of the IEEE International Conference on Image Processing (ICIP), Abu Dhabi 2020.

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