Publikation: EMES: Efficient Multi-Encoding Schemes ...
Stammdaten
Titel: | EMES: Efficient Multi-Encoding Schemes for HEVC-based Adaptive Bitrate Streaming |
Untertitel: | |
Kurzfassung: | In HTTP Adaptive Streaming (HAS), videos are encoded at multiple bitrates and spatial resolutions ( i.e. , representations ) to adapt to the heterogeneity of network conditions, device attributes, and end-user preferences. Encoding the same video segment at multiple representations increases costs for content providers. State-of-the-art multi-encoding schemes improve the encoding process by utilizing encoder analysis information from already encoded representation(s) to reduce the encoding time of the remaining representations. These schemes typically use the highest bitrate representation as the reference to accelerate the encoding of the remaining representations. Nowadays, most streaming services utilize cloud-based encoding techniques, enabling a fully parallel encoding process to reduce the overall encoding time. The highest bitrate representation has the highest encoding time than the other representations. Thus, utilizing it as the reference encoding is unfavorable in a parallel encoding setup as the overall encoding time is bound by its encoding time. This paper provides a comprehensive study of various multi-rate and multi-encoding schemes in both serial and parallel encoding scenarios. Furthermore, it introduces novel heuristics to limit the Rate Distortion Optimization (RDO) process across various representations. Based on these heuristics, three multi-encoding schemes are proposed, which rely on encoder analysis sharing across different representations: (i) optimized for the highest compression efficiency , (ii) optimized for the best compression efficiency-encoding time savings trade-off , and (iii) optimized for the best encoding time savings . Experimental results demonstrate that the proposed multi-encoding schemes (i) , (ii) , and (iii) reduce the overall serial encoding time by 34.71%, 45.27%, and 68.76% with a 2.3%, 3.1%, and 4.5% bitrate increase to maintain the same VMAF, respectively compared to stand-alone encodings. The overall parallel encoding time is reduced by 22.03%, 20.72%, and 76.82% compared to stand-alone encodings for schemes (i) , (ii) , and (iii) , respectively. |
Schlagworte: | HTTP Adaptive Streaming, HEVC, Multi-rate Encoding, Multi-encoding |
Publikationstyp: | Beitrag in Zeitschrift (Autorenschaft) |
Erscheinungsdatum: | 08.12.2022 (Online) |
Erschienen in: |
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
(
ACM - New York;
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Heftnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 1 - 20 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 12.2022 |
ISBN: | - |
ISSN: | 1551-6857 |
Homepage: | https://dl.acm.org/doi/10.1145/3575659 |
Erscheinungsdatum: | 08.12.2022 |
ISBN (e-book): | - |
eISSN: | 1551-6865 |
DOI: | http://dx.doi.org/10.1145/3575659 |
Homepage: | https://dl.acm.org/doi/10.1145/3575659 |
Open Access |
|
AutorInnen
Vignesh Menon (intern) |
Hadi Amirpourazarian (intern) |
Mohammad Ghanbari (intern) |
Christian Timmerer (intern) |
Zuordnung
Organisation | Adresse | ||||
---|---|---|---|---|---|
Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
|
AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
Sachgebiete | |
Forschungscluster | Kein Forschungscluster ausgewählt |
Zitationsindex |
Informationen zum Zitationsindex: Master Journal List
|
Peer Reviewed |
|
Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
|
Arbeitsgruppen |
|
Kooperationen
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
Projekte: |
|
Publikationen: | Keine verknüpften Publikationen vorhanden |
Veranstaltungen: | Keine verknüpften Veranstaltung vorhanden |
Vorträge: | Keine verknüpften Vorträge vorhanden |