Publikation: Towards Optimal Multirate Encoding for ...
Stammdaten
Titel: | Towards Optimal Multirate Encoding for HTTP Adaptive Streaming |
Untertitel: | |
Kurzfassung: | HTTP Adaptive Streaming (HAS) enables high quality stream-ing of video contents. In HAS, videos are divided into short intervalscalled segments, and each segment is encoded at various quality/bitratesto adapt to the available bandwidth. Multiple encodings of the same con-tent imposes high cost for video content providers. To reduce the time-complexity of encoding multiple representations, state-of-the-art methods typically encode the highest quality representation first and reusethe information gathered during its encoding to accelerate the encodingof the remaining representations. As encoding the highest quality rep-resentation requires the highest time-complexity compared to the lowerquality representations, it would be a bottleneck in parallel encoding scenarios and the overall time-complexity will be limited to the time-complexity of the highest quality representation. In this paper and toaddress this problem, we consider all representations from the highestto the lowest quality representation as a potential, single reference toaccelerate the encoding of the other, dependent representations. We for-mulate a set of encoding modes and assess their performance in terms ofBD-Rate and time-complexity, using both VMAF and PSNR as objec-tive metrics. Experimental results show that encoding a middle qualityrepresentation as a reference, can significantly reduce the maximum en-coding complexity and hence it is an efficient way of encoding multiplerepresentations in parallel. Based on this fact, a fast multirate encodingmethod is proposed which utilizes depth and prediction mode of a middle quality representation to accelerate the encoding of the dependentrepresentations. |
Schlagworte: | HEVC; Video Encoding; Multirate Encoding; DASH |
Publikationstyp: | Beitrag in Proceedings (Autorenschaft) |
Erscheinungsdatum: | 21.01.2021 (Online) |
Erschienen in: |
MMM 21' Proceedings of the 27th Internationl Conference on Multimedia Modeling (MMM 2021)
MMM 21' Proceedings of the 27th Internationl Conference on Multimedia Modeling (MMM 2021)
(
Springer;
J. Lokoc, T. Skopal , K. Schöffmann, V. Mezaris, X. Li, S. Vrochidis, I. Patras
)
zur Publikation |
Titel der Serie: | Lecture Notes in Computer Science |
Bandnummer: | 12572 |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 469 - 480 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 21.01.2021 |
ISBN (e-book): |
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eISSN: | - |
DOI: | http://dx.doi.org/10.1007/978-3-030-67832-6_38 |
Homepage: | https://link.springer.com/chapter/10.1007/978-3-030-67832-6_38 |
Open Access |
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AutorInnen
Hadi Amirpourazarian (intern) |
Ekrem Cetinkaya (intern) |
Christian Timmerer (intern) |
Mohammad Ghanbari (intern) |
Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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