Energy-efficient Adaptive Video Streaming with Latency-Aware Dynamic Resolution Encoding
CoRR(2024)
摘要
Traditional per-title encoding schemes aim to optimize encoding resolutions
to deliver the highest perceptual quality for each representation. However,
keeping the encoding time within an acceptable threshold for a smooth user
experience is important to reduce the carbon footprint and energy consumption
on encoding servers in video streaming applications. Toward this realization,
we introduce an encoding latency-a ware dynamic resolution encoding scheme
(LADRE) for adaptive video streaming applications. LADRE determines the
encoding resolution for each target bitrate by utilizing a random forest-based
prediction model for every video segment based on spatiotemporal features and
the acceptable target latency. Experimental results show that LADRE achieves an
overall average quality improvement of 0.58 dB PSNR and 0.43 dB XPSNR while
maintaining the same bitrate, compared to the HTTP Live Streaming (HLS) bitrate
ladder encoding of 200 s segments using the VVenC encoder, when the encoding
latency for each representation is set to remain below the 200 s threshold.
This is accompanied by an 84.17
consumption.
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