Content-Adaptive Variable Framerate Encoding Scheme for Green Live Streaming

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Detalles Bibliográficos
Publicado en:	arXiv.org (Nov 14, 2023), p. n/a
Autor principal:	Menon, Vignesh V
Otros Autores:	Afzal, Samira, Rajendran, Prajit T, Schoeffmann, Klaus, Prodan, Radu, Timmerer, Christian
Publicado:	Cornell University Library, arXiv.org
Materias:	Reduction Streaming media Energy consumption Video transmission Representations Coding Efficiency Resource allocation Energy storage Discrete cosine transform
Acceso en línea:	Citation/Abstract Full text outside of ProQuest
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Descripción
Resumen:	Adaptive live video streaming applications use a fixed predefined configuration for the bitrate ladder with constant framerate and encoding presets in a session. However, selecting optimized framerates and presets for every bitrate ladder representation can enhance perceptual quality, improve computational resource allocation, and thus, the streaming energy efficiency. In particular, low framerates for low-bitrate representations reduce compression artifacts and decrease encoding energy consumption. In addition, an optimized preset may lead to improved compression efficiency. To this light, this paper proposes a Content-adaptive Variable Framerate (CVFR) encoding scheme, which offers two modes of operation: ecological (ECO) and high-quality (HQ). CVFR-ECO optimizes for the highest encoding energy savings by predicting the optimized framerate for each representation in the bitrate ladder. CVFR-HQ takes it further by predicting each representation's optimized framerate-encoding preset pair using low-complexity discrete cosine transform energy-based spatial and temporal features for compression efficiency and sustainable storage. We demonstrate the advantage of CVFR using the x264 open-source video encoder. The results show that CVFR-ECO yields an average PSNR and VMAF increase of 0.02 dB and 2.50 points, respectively, for the same bitrate, compared to the fastest preset highest framerate encoding. CVFR-ECO also yields an average encoding and storage energy consumption reduction of 34.54% and 76.24%, considering a just noticeable difference (JND) of six VMAF points. In comparison, CVFR-HQ yields an average increase in PSNR and VMAF of 2.43 dB and 10.14 points, respectively, for the same bitrate. Finally, CVFR-HQ resulted in an average reduction in storage energy consumption of 83.18%, considering a JND of six VMAF points.
ISSN:	2331-8422
Fuente:	Engineering Database