In recent studies, it could be shown that the energy demand of Versatile Video Coding (VVC) decoders can be twice as high as comparable High Efficiency Video Coding (HEVC) decoders. A significant part of this increase in complexity is attributed to the usage of new coding tools. By using a design space exploration algorithm, it was shown that the energy demand of VVC-coded sequences could be reduced if different coding tool profiles were used for the encoding process. This work extends the algorithm with several optimization strategies, methodological adjustments to optimize perceptual quality, and a new minimization criterion. As a result, we significantly improve the Pareto front, and the rate-distortion and energy efficiency of the state-of-the-art design space exploration. Therefore, we show an energy demand reduction of up to 47% with less than 30% additional bit rate, or a reduction of over 35% with approximately 6% additional bit rate.
@article{arxiv.2209.10211,
title = {Advanced Design Space Exploration for Joint Energy and Quality Optimization for VVC},
author = {Matthias Kränzler and Christian Herglotz and André Kaup},
journal= {arXiv preprint arXiv:2209.10211},
year = {2024}
}
Comments
accepted as a conference paper for Picture Coding Symposium (PCS) 2022