In this paper, we study decoding energy reduction opportunities using temporal-domain filtering and subsampling methods. In particular, we study spatiotemporal filtering using a contrast sensitivity function and temporal downscaling, i.e., frame rate reduction. We apply these concepts as a pre-filtering to the video before compression and evaluate the bitrate, the decoding energy, and the visual quality with a dedicated metric targeting temporally down-scaled sequences. We find that decoding energy savings yield 35% when halving the frame rate and that spatiotemporal filtering can lead to up to 5% of additional savings, depending on the content.
@article{arxiv.2306.06917,
title = {Video Decoding Energy Reduction Using Temporal-Domain Filtering},
author = {Christian Herglotz and Matthias Kränzler and Robert Ludwig and André Kaup},
journal= {arXiv preprint arXiv:2306.06917},
year = {2023}
}