HEVC hardware vs software decoding: An objective energy consumption analysis and comparison

Khernache, Mohammed Bey Ahmed; Benmoussa, Yahia; Boukhobza, Jalil; Ménard, Daniel

doi:10.1016/j.sysarc.2021.102004

Cited by 8 publications

(1 citation statement)

References 29 publications

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“…Important parts of the online video processing pipeline are the video encoder and the video decoder. Concerning the latter, certain studies revealed that the decoder is a major reason for a high energy consumption in portable devices such as smartphones or tablet PCs [7,12], especially if software decoding is used [16,19]. As a consequence, various studies focused on reducing the energy consumption of video decoders [8,11,13,26] while keeping the visual quality of the video.…”

Section: Introductionmentioning

confidence: 99%

Video Decoding Energy Reduction Using Temporal-Domain Filtering

Herglotz

Kränzler

Ludwig

et al. 2023

Proceedings of the First International Workshop on Green Multimedia Systems

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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 downscaled 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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