Publikation: JND-aware Two-pass Per-title Encoding S...
Stammdaten
Titel: | JND-aware Two-pass Per-title Encoding Scheme for Adaptive Live Streaming |
Untertitel: | |
Kurzfassung: | Adaptive live video streaming applications utilize a predefined collection of bitrate-resolution pairs, known as a bitrate ladder, for simplicity and efficiency, eliminating the need for additional run-time to determine the optimal pairs during the live streaming session. These applications do not incorporate two-pass encoding methods due to increased latency. However, an optimized bitrate ladder could result in lower storage and delivery costs and improved Quality of Experience (QoE). This paper presents a Just Noticeable Difference (JND)-aware constrained Variable Bitrate (cVBR) Two-pass Per-title encoding Scheme (JTPS) designed specifically for live video streaming. JTPS predicts a content- and JND-aware bitrate ladder using low-complexity features based on Discrete Cosine Transform (DCT) energy and optimizes the constant rate factor (CRF) for each representation using random forest-based models. The effectiveness of JTPS is demonstrated using the open source video encoder x265, with an average bitrate reduction of 18.80% and 32.59% for the same PSNR and VMAF, respectively, compared to the standard HTTP Live Streaming (HLS) bitrate ladder using Constant Bitrate (CBR) encoding. The implementation of JTPS also resulted in a 68.96% reduction in storage space and an 18.58% reduction in encoding time for a JND of six VMAF points. |
Schlagworte: | Per-title encoding, Live streaming, Two-pass encoding, Rate control, CRF prediction, Just Noticeable Difference |
Publikationstyp: | Beitrag in Zeitschrift (Autorenschaft) |
Erscheinungsdatum: | 28.06.2023 (Online) |
Erschienen in: |
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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IEEE;
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zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Heftnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 1 - 1 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 28.06.2023 |
ISBN (e-book): | - |
eISSN: | 1558-2205 |
DOI: | http://dx.doi.org/10.1109/tcsvt.2023.3290725 |
Homepage: | https://ieeexplore.ieee.org/document/10168142 |
Open Access |
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AutorInnen
Vignesh Menon (intern) | ||||
Prajit T Rajendran (extern) | ||||
Christian Feldmann
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Klaus Schöffmann (intern) | ||||
Mohammed Ghanbari (extern) | ||||
Christian Timmerer (intern) |
Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
Sachgebiete | |
Forschungscluster | Kein Forschungscluster ausgewählt |
Zitationsindex |
Informationen zum Zitationsindex: Master Journal List
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Peer Reviewed |
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Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
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Arbeitsgruppen |
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Kooperationen
Organisation | Adresse | ||||
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Université Paris-Saclay
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FR - 91190 Saint-Aubin |
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bitmovin GmbH
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AT - 9020 Klagenfurt am Wörthersee |
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University of Essex
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GB - C04 3SQ Colchester |
Forschungsaktivitäten
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