Optimized Decoding-Energy-Aware Encoding In Practical VVC Implementations

Kränzler M, Wieckowski A, Ramasubbu G, Bross B, Kaup A, Marpe D, Herglotz C (2022)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2022

Event location: Bordeaux

URI: https://arxiv.org/abs/2206.13483

DOI: 10.1109/ICIP46576.2022.9897896

Abstract

The optimization of the energy demand is crucial for modern video codecs. Previous studies show that the energy demand of VVC decoders can be improved by more than 50% if specific coding tools are disabled in the encoder. However, those approaches increase the bit rate by over 20% if the concept is applied to practical encoder implementations such as VVenC. Therefore, in this work, we investigate VVenC and study possibilities to reduce the additional bit rate, while still achieving low-energy decoding at reasonable encoding times. We show that encoding using our proposed coding tool profiles, the decoding energy efficiency is improved by over 25% with a bit rate increase of less than 5% with respect to standard encoding. Furthermore, we propose a second coding tool profile targeting maximum energy savings, which achieves 34% of energy savings at bitrate increases below 15%.

Authors with CRIS profile

Involved external institutions

Fraunhofer-Institut für Nachrichtentechnik (Heinrich-Hertz-Institut FhG HHI) Germany (DE)

How to cite

APA:

Kränzler, M., Wieckowski, A., Ramasubbu, G., Bross, B., Kaup, A., Marpe, D., & Herglotz, C. (2022). Optimized Decoding-Energy-Aware Encoding In Practical VVC Implementations. In Proceedings of the 29th IEEE International Conference on Image Processing (IEEE ICIP). Bordeaux, FR.

MLA:

Kränzler, Matthias, et al. "Optimized Decoding-Energy-Aware Encoding In Practical VVC Implementations." Proceedings of the 29th IEEE International Conference on Image Processing (IEEE ICIP), Bordeaux 2022.

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