# Video Decoding Energy Reduction Using Temporal-Domain Filtering

arXiv: https://arxiv.org/abs/2306.06917 · HTML: https://mlsanity.com/paper/2306.06917/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jun 2023.

## Built on by (most cited first, 2 of 2)

- [EgoTrigger: Toward Audio-Driven Image Capture for Human Memory Enhancement in All-Day Energy-Efficient Smart Glasses](https://mlsanity.com/paper/2508.01915/) (2025)
- [Energy-Aware Frame Rate Selection for Video Coding](https://mlsanity.com/paper/2603.18305/) (2026)

## Abstract (arXiv)

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.