Lecture: Efficient bitrate ladder construction for live video streaming
Master data
Title: | Efficient bitrate ladder construction for live video streaming |
Description: | In live streaming applications, service providers generally use a bitrate ladder with fixed bitrate-resolution pairs instead of optimizing it per title to avoid the additional latency caused to find optimum bitrate-resolution pairs for every video content. This paper introduces an online bitrate ladder construction scheme for live video streaming applications. In this scheme, each target bitrate's optimized resolution is determined from any pre-defined set of resolutions using Discrete Cosine Transform (DCT)-energy-based low-complexity spatial and temporal features for each video segment. Experimental results show that, on average, the proposed scheme yields significant bitrate savings while maintaining the same quality, compared to the HLS fixed bitrate ladder scheme without any noticeable additional latency in streaming. |
Keywords: | Live streaming, Per-title Encoding, Resolution prediction |
Type: | Poster presentation |
Homepage: | https://www.mile-high.video/full-event-program |
Event: | ACM Mile High Video (ACM MHV 2022) (Denver, Colorado) |
Date: | 03.03.2022 |
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
Organisation | Address | ||||
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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