Publication: Video streaming using light-weight tran...
Master data
Title: | Video streaming using light-weight transcoding and in-network intelligence |
Subtitle: | |
Abstract: | In this paper, we introduce a novel approach, LwTE, which reduces streaming costs in HTTP Adaptive Streaming (HAS) by enabling light-weight transcoding at the edge. In LwTE, during encoding of a video segment in the origin server, a metadata is generated which stores the optimal encoding decisions. LwTE enables us to store only the highest bitrate plus corresponding metadata (of very small size) for unpopular video segments/bitrates. Since metadata is of very small size, replacing unpopular video segments/bitrates with their metadata results in considerable saving in the storage costs. The metadata is reused at the edge servers to reduce the required time and computational resources for on-the-fly transcoding. |
Keywords: | Light-weight transcoding, Live streaming, Video-on-Demand (VoD) |
Publication type: | Article in Proceedings (Authorship) |
Publication date: | 17.03.2022 (Online) |
Published by: |
MHV'22 Proceedings of the 1st Mile-High Video Conference
MHV'22 Proceedings of the 1st Mile-High Video Conference
(
ACM New York;
)
to publication |
Title of the series: | - |
Volume number: | - |
First publication: | Yes |
Version: | - |
Page: | pp. 96 - 97 |
Versionen
Keine Version vorhanden |
Publication date: | 17.03.2022 |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.1145/3510450.3517284 |
Homepage: | https://dl.acm.org/doi/10.1145/3510450.3517284 |
Open access |
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Authors
Alireza Erfanian (internal) |
Hadi Amirpourazarian (internal) |
Farzad Tashtarian (internal) |
Christian Timmerer (internal) |
Hermann Hellwagner (internal) |
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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Research Cluster | No research Research Cluster selected |
Peer reviewed |
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