Just Noticeable Difference-Aware Per-Scene Bitrate-Laddering for Adaptive Video Streaming
Author:
Affiliation:
1. Alpen-Adria-Universität,Christian Doppler Laboratory Athena,Klagenfurt,Austria
2. Nantes Universite,Ecole Centrale Nantes, Capacites SAS, CNRS, LS2N, UMR 6004,Nantes,France,F-44000
3. Université Paris-Saclay,CEA, List,Palaiseau,France,F-91120
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219770.pdf?arnumber=10219770
Reference27 articles.
1. Subjective test methodology optimization and prediction framework for Just Noticeable Difference and Satisfied User Ratio for compressed HD video
2. On The Benefit of Parameter-Driven Approaches for the Modeling and the Prediction of Satisfied User Ratio for Compressed Video
3. INCEPT: Intra CU Depth Prediction for HEVC
4. Deep Neural Networks for No-Reference Video Quality Assessment
5. Deep Learning Based Just Noticeable Difference and Perceptual Quality Prediction Models for Compressed Video
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1. Bitrate Ladder Construction Using Visual Information Fidelity;2024 Picture Coding Symposium (PCS);2024-06-12
2. Optimal Quality and Efficiency in Adaptive Live Streaming with JND-Aware Low latency Encoding;Proceedings of the 3rd Mile-High Video Conference on zzz;2024-02-11
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