Publication: JND-aware Two-pass Per-title Encoding S...
Master data
Title: | JND-aware Two-pass Per-title Encoding Scheme for Adaptive Live Streaming |
Subtitle: | |
Abstract: | 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. |
Keywords: | Per-title encoding, Live streaming, Two-pass encoding, Rate control, CRF prediction, Just Noticeable Difference |
Publication type: | Article in journal (Authorship) |
Publication date: | 28.06.2023 (Online) |
Published by: |
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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IEEE;
)
to publication |
Title of the series: | - |
Volume number: | - |
Issue: | - |
First publication: | Yes |
Version: | - |
Page: | pp. 1 - 1 |
Versionen
Keine Version vorhanden |
Publication date: | 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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Authors
Vignesh Menon (internal) | ||||
Prajit T Rajendran (external) | ||||
Christian Feldmann
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Klaus Schöffmann (internal) | ||||
Mohammed Ghanbari (external) | ||||
Christian Timmerer (internal) |
Assignment
Organisation | Address | ||||
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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 |
Citation index |
Information about the citation index: Master Journal List
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Peer reviewed |
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Cooperations
Organisation | Address | ||||
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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 |
Research activities
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Publications: | No related publications |
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