Content-Adaptive Variable Framerate Encoding Scheme for Green Live Streaming

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Опубликовано в::arXiv.org (Nov 14, 2023), p. n/a
Главный автор: Menon, Vignesh V
Другие авторы: Afzal, Samira, Rajendran, Prajit T, Schoeffmann, Klaus, Prodan, Radu, Timmerer, Christian
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Cornell University Library, arXiv.org
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045 0 |b d20231114 
100 1 |a Menon, Vignesh V 
245 1 |a Content-Adaptive Variable Framerate Encoding Scheme for Green Live Streaming 
260 |b Cornell University Library, arXiv.org  |c Nov 14, 2023 
513 |a Working Paper 
520 3 |a 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. 
653 |a Reduction 
653 |a Streaming media 
653 |a Energy consumption 
653 |a Video transmission 
653 |a Representations 
653 |a Coding 
653 |a Efficiency 
653 |a Resource allocation 
653 |a Energy storage 
653 |a Discrete cosine transform 
700 1 |a Afzal, Samira 
700 1 |a Rajendran, Prajit T 
700 1 |a Schoeffmann, Klaus 
700 1 |a Prodan, Radu 
700 1 |a Timmerer, Christian 
773 0 |t arXiv.org  |g (Nov 14, 2023), p. n/a 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2890143101/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/2311.08074