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The Green Streaming Project

Description

The Project

Due to the steady rise in media usage on the internet through video streaming offers, energy efficiency and sustainability in the production, distribution, and playback of digital media are becoming increasingly important along the entire value chain. A more technically efficient video streaming offers the groundwork for a more energy-efficient and, hence, more sustainable streaming value chain.

The Green Streaming project analyses all elements along the streaming value chain for their energy efficiency, including A/V encoders, packaging, content delivery networks (CDN), A/V players and end devices. Fraunhofer FOKUS is working on context-related, energy-efficient video encoding and the corresponding player components. For this purpose, we identify appropriate measurement points, define measurement variables, collect component-specific measurement data, and utilise real-time data from processing and playback processes to optimise the effective chain. Machine learning methods and AI models are utilised in this process. A green digital twin of the holistically considered streaming chain will be used to model real workflows and training purposes. The outcome is a measurable and thus assessable streaming value chain that enables sustainable operation and use of streaming content in terms of its carbon footprint in an automated, adaptive and self-learning manner.

Key figures

The Project

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Project duration: 01.05.2023 - 30.04.2026
Key figures
Funding programme:
„Entwicklung digitaler Technologien“ (BAnz AT 11.07.2022 B1)
Request for funding:
GreenTech Innovation Competition – Digital technologies as the key to the ecological transformation of the economy
Funding source:
Bundesministerium für Wirtschaft und Klimaschutz (BMWK)
Project Management Agency:
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) DLR project management | Social, Innovation and Technology Department
Management of the entire project:
Robert Seeliger – Fraunhofer FOKUS

Our partner

Our partners for sustainable streaming

Our partners bring their extensive expertise in AI, deep learning, video encoding, cloud system architectures, and carbon accounting to develop energy-efficient and eco-friendly solutions across the streaming value chain. Together, we are determined to employ pioneering technologies and make a valuable contribution to climate conservation. Through this dedicated collaboration, we are achieving our goal of researching and developing sustainable video technologies that enable resource-efficient and responsible use of streaming content.

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