Publikation: Fast Multi-Encoding to reduce the cost ...
Stammdaten
Titel: | Fast Multi-Encoding to reduce the cost of Video Streaming |
Untertitel: | |
Kurzfassung: | The growth in video internet traffic and advancements in video attributes such as framerate, resolution, and bit-depth boost the demand to devise a large-scale, highly efficient video encoding environment. This is even more essential for Dynamic Adaptive Streaming over HTTP (DASH)-based content provisioning as it requires encoding numerous representations of the same video content. High Efficiency Video Coding (HEVC) is one standard video codec that significantly improves encoding efficiency over its predecessor Advanced Video Coding (AVC). This improvement is achieved at the expense of significantly increased time complexity, which is a challenge for content and service providers. As various representations are the same video content encoded at different bitrates or resolutions, the encoding analysis information from the already encoded representations can be shared to accelerate the encoding of other representations. Several state-of-the-art schemes first encode a single representation, called a reference representation. During this encoding, the encoder creates analysis metadata with information such as the slice-type decisions, CU, PU, TU partitioning, and the HEVC bitstream itself. The remaining representations, called dependent representations, analyse the above metadata and then reuse it to skip searching some partitioning, thus, reducing the computational complexity. With the emergence of cloud-based encoding services, video encoding is accelerated by utilising an increased number of resources, i.e. with multi-core CPUs, multiple representations can be encoded in parallel. This paper presents an overview of a wide range of multi-encoding schemes with and without the support of machine learning approaches integrated into the HEVC Test Model (HM) and x265, respectively. Seven multi-encoding schemes are presented, and their performance in encoding time complexity and bitrate overhead compared to the state-of-the-art approaches are shown. Enabling fast multi-encoding for HAS in modern Over-the-top (OTT) workflows will reduce time-to-market and costs immensely. |
Schlagworte: |
Publikationstyp: | Beitrag in Proceedings (Autorenschaft) |
Erscheinungsdatum: | 20.10.2022 (Online) |
Erschienen in: |
IBC'22 Proceedings of the International Broadcasters Conference
IBC'22 Proceedings of the International Broadcasters Conference
(
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 1 - 12 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 20.10.2022 |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.48550/arXiv.2210.13890 |
Homepage: | https://www.ibc.org/technical-papers/ibc2022-tech-papers-fast-multi-encoding-to-reduce-the-cost-of-video-streaming/9243.article |
Open Access |
|
AutorInnen
Hadi Amirpourazarian (intern) | ||||
Vignesh Menon (intern) | ||||
Ekrem Cetinkaya (intern) | ||||
Adithyan Ilangovan (extern) | ||||
Christian Feldmann
|
||||
Martin Smole (extern) | ||||
Christian Timmerer (intern) |
Zuordnung
Organisation | Adresse | ||||
---|---|---|---|---|---|
Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
|
AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
Sachgebiete | |
Forschungscluster | Kein Forschungscluster ausgewählt |
Peer Reviewed |
|
Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
|
Arbeitsgruppen |
|
Kooperationen
Organisation | Adresse | ||
---|---|---|---|
bitmovin GmbH
|
AT - 9020 Klagenfurt am Wörthersee |
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 |