Lecture: ETPS: Efficient Two-Pass Encoding Scheme for Adaptive Live Streaming
Master data
Title: | ETPS: Efficient Two-Pass Encoding Scheme for Adaptive Live Streaming |
Description: | In two-pass encoding, also known as multi-pass encoding, the input video content is analyzed in the first-pass to help the second-pass encoding utilize better encoding decisions and improve overall compression efficiency. In live streaming applications, a single-pass encoding scheme is mainly used to avoid the additional first-pass encoding run-time to analyze the complexity of every video content. This paper introduces an Efficient low-latency Two-Pass encoding Scheme (ETPS) for live video streaming applications. In this scheme, Discrete Cosine Transform (DCT)-energy-based low-complexity spatial and temporal features for every video segment are extracted in the first-pass to predict each target bitrate’s optimal constant rate factor (CRF) for the second-pass constrained variable bitrate (cVBR) encoding. Experimental results show that, on average, ETPS compared to a traditional two-pass average bitrate encoding scheme yields encoding time savings of 43.78% without any noticeable drop in compression efficiency. Additionally, compared to a single-pass constant bitrate (CBR) encoding, it yields bitrate savings of 10.89% and 8.60% to maintain the same PSNR and VMAF, respectively. |
Keywords: | Two-pass encoding, live streaming, rate control, CRF prediction |
Type: | Registered lecture |
Homepage: | https://2022.ieeeicip.org/ |
Event: | IEEE International Conference in Image Processing (ICIP 2022) (Bordeaux) |
Date: | 19.10.2022 |
lecture status: | stattgefunden (Präsenz) |
Participants
Vignesh Menon (internal) |
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Hadi Amirpourazarian (internal) |
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Mohammad Ghanbari (internal) |
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Christian Timmerer (internal) |
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Assignment
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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