Energy-Aware HDR Content End-to-End VVC Encoding
In: 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP) ; https://hal.science/hal-04357318 ; 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), Sep 2023, Poitiers, France. ⟨10.1109/mmsp59012.2023.10337641⟩, 2023
Konferenz
Zugriff:
International audience ; The proposed demonstration combines several commercially viable state-of-the-art technologies to achieve significant energy reduction while delivering HDR video without compromising QoE. The components of the demo are: (i) The demo is based our solution on VVC, the most efficient, highest quality video codec available today. (ii) We leverage Advanced HDR by Technicolor, a solution that uniquely can deliver HDR and SDR video using a single stream. (iii) We introduce a solution for dynamically adjusting peak brightness of displays via display adaptation controlled through the network using dynamic metadata encapsulated in MPEG SEI messages. This solution has been tested and shows a capability of reducing power by 10% or more without any subjective quality loss, and far more with minimal subjective impact. (iv) While we demonstrate a streaming (unicast) scenario in our live demo, our system is also capable of working in a dynamic unicast/multicast environment based on DVB transmission standards. (v) The entire demonstration is resulting from an industrial collaboration and is based on ready to market technologies and prototypes.
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Energy-Aware HDR Content End-to-End VVC Encoding
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Autor/in / Beteiligte Person: | Le Meur, Olivier ; Aumont, Franck ; Vargas Rubio, Juan Carlos ; Cabarat, Pierre-Loup ; Menard, Daniel ; Hammami, Oussama ; Guionnet, Thomas ; InterDigital R&D France ; Technologies, ENENSYS ; Institut d'Électronique et des Technologies du numéRique (IETR) ; Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) ; Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - pôle Sciences et technologie ; Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ) ; Rennes, ATEME ; This work has been achieved in the project 3EMS-2 funded by the “Région Bretagne”, “Images et Réseaux”, “Rennes Métropole” and FEDER. |
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Zeitschrift: | 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP) ; https://hal.science/hal-04357318 ; 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), Sep 2023, Poitiers, France. ⟨10.1109/mmsp59012.2023.10337641⟩, 2023 |
Veröffentlichung: | HAL CCSD, 2023 |
Medientyp: | Konferenz |
DOI: | 10.1109/mmsp59012.2023.10337641 |
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