Green streaming through utilization of AI-based content aware encoding

Author:

Seeliger Robert1,Muller Christoph1,Arbanowski Stefan1

Affiliation:

1. Fraunhofer FOKUS,Berlin,Germany

Publisher

IEEE

Reference8 articles.

1. Energie-Effizienz von Streaming-Plattformen und Möglichkeiten zur Verbesserung;gaukler;Information 2020,2021

2. Die CO2-Kosten des Video-Streaming;konen;Die Neue Hochschule,2020

3. Context-aware video encoding as a network-based media processing (NBMP) workflow

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards ML-Driven Video Encoding Parameter Selection for Quality and Energy Optimization;2024 16th International Conference on Quality of Multimedia Experience (QoMEX);2024-06-18

2. Deep Explainable Content-Aware Per-Scene Video Encoding;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19

3. Empowering a greener future;Proceedings of the 3rd Mile-High Video Conference on zzz;2024-02-11

4. Towards Sustainable Video Streaming: Evaluation of AI Approaches for Content Aware Encoding;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16

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