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arXiv · 2306.06917

Video Decoding Energy Reduction Using Temporal-Domain Filtering

Christian Herglotz·Matthias Kränzler·Robert Ludwig·André Kaup
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Abstract

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.

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Christian Herglotz, Matthias Kränzler, Robert Ludwig, André Kaup. 2023-06-12. Video Decoding Energy Reduction Using Temporal-Domain Filtering. https://doi.org/10.1145/3593908.3593948

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