The first part of this tutorial introduces the fundamental concepts and technologies behind internet‑delivered media. It provides an in‑depth overview of modern streaming formats and protocols, including MPEG‑DASH, HLS, CENC, CMAF, as well as relevant Web APIs such as Media Source Extensions (MSE), Encrypted Media Extensions (EME). Particular emphasis is placed on the latest features and recent developments in these technologies such as CMCD version 2, Server‑Guided Ad Insertion, and Green Streaming.
In addition, this part explores the standardization activities of key organizations shaping the streaming ecosystem, including MPEG, SVTA, CTA‑WAVE, and 5G‑MAG

Topics include:

• Trending topics: Common Media Client Data (CMCD) Version 2, Server‑Guided Ad Insertion (SGAI), and Green Streaming
• Streaming formats and protocols: MPEG‑DASH, HLS, CENC, CMAF
• Web Media APIs: Media Source Extensions (MSE), Encrypted Media Extensions (EME)
• Standardization acitivities: MPEG, SVTA, CTA‑WAVE, and 5G‑MAG

The field of Extended Reality (XR) is rapidly evolving, driven by advances in streaming technologies, new XR platforms, and a growing diversity of XR devices. This tutorial provides an overview of the current state of XR streaming and its increasing importance for delivering immersive experiences across headsets and emerging smart glasses.

We will begin by examining the key technological trends shaping XR streaming, including cloud and edge rendering, low‑latency networks, and adaptive streaming techniques, and discuss their implications for scalable XR content delivery. The tutorial will then explore the role of XR streaming in supporting next‑generation XR experiences, with a focus on media, interactive applications, and virtual environments.

In the context of XR platforms and devices, we will discuss how Android XR and recent developments in Spatial Computing are influencing XR streaming architectures. In addition, the tutorial will provide an update on the latest XR devices, with particular emphasis on smart glasses and display‑enabled wearables, such as Meta Ray‑Ban Display glasses and upcoming Android XR‑based devices including Samsung Galaxy XR.

Topics include:

• Tech Trends in XR Streaming: cloud and edge rendering, low-latency networks, and hardware

• Next-Gen Immersive Experiences: delivery of high-fidelity media, interactive applications, and virtual environments

• XR Platforms & Architectures: Android XR and recent developments in Spatial Computing

• Evolving Device Landscape: latest hardware trends, including smart glasses, and display-enabled wearables

As AI becomes increasingly central to media workflows, understanding how modern models actually work is essential. This tutorial provides a clear, accessible, and technically grounded introduction to contemporary AI systems — with a special focus on neural networks, Transformer models, and Large Language Models (LLMs).

We unpack the mechanics behind today’s generative AI: how models process language, how attention works, what happens during training and inference, and why Transformers are so effective. Through intuitive explanations, visual breakdowns, and simplified examples, participants will gain a solid conceptual understanding of how modern AI systems operate “under the hood.”

Topics include:

• AI & Machine Learning Basics: Core concepts, model families, training principles
• Vectorization: Architecture, embeddings, tokenization, optimization
• The Transformer Model: Attention mechanisms, encoder/decoder structures, masking
• Capabilities & Limitations: Bias, hallucinations, safety constraints, model weaknesses
• Looking Ahead: Trends such as multimodal models and mixture of experts

This tutorial is ideal for participants who want to understand how modern AI and LLMs function.

The second part of the tutorial focuses on advances in low-latency streaming delivery, with particular emphasis on Low Latency Low Delay (L3D) DASH and Media over QUIC. It introduces the underlying principles, architectural considerations, and practical implications of both adaptive streaming technologies with emerging transport protocols designed for improved latency and efficiency.

As digital media becomes increasingly tampered with, AI‑generated, and rapidly distributed, ensuring trust in content is more critical than ever. This tutorial offers a clear and technically grounded introduction to Provenance & Authenticity — why they matter, how they work, and how modern standards help verify the origin and integrity of media.

Drawing on real‑world examples and intuitive explanations, the session demystifies how provenance metadata is created, maintained, verified, and protected across the media lifecycle. Participants will learn why misinformation, deepfakes, and content manipulation have become systemic challenges — and how emerging technologies address them.

Topics include:

• Why Provenance Matters Today: The rise of misinformation, disinformation, deepfakes, and synthetic media — and how trust in digital ecosystems is eroding.
• Core Concepts of Provenance & Authenticity: What provenance means in a media context: origins, editing history, ownership, and the “trust trail” of content.
• Foundations of Media Provenance: How metadata, signatures, and provenance chains capture how content evolves during production and publishing.
• Technical Underpinnings: How provenance information is structured, validated, and linked.
• Challenges in Modern Media Landscapes: What makes trustworthy content verification difficult in distributed media environments.

Ideal for participants seeking a conceptual foundation in media provenance, this tutorial bridges the gap between why provenance is essential and how technical mechanisms ensure authenticity.

Building on the foundational understanding from the first tutorial, this session focuses on how to develop AI‑powered applications tailored to the media domain. It covers hands‑on methods, architectural approaches, and best practices for building robust, production‑ready AI systems.

Participants learn how to work effectively with LLMs — from prompting and orchestration to fine‑tuning and advanced retrieval techniques (RAG). We explore how to integrate multimodal models into production workflows, build intelligent assistants, and design agent‑based pipelines capable of handling complex tasks.

Topics include:

• LLM-Based Application Development: Prompting strategies, evaluation, orchestration
• Fine‑Tuning & Customization: Parameter‑efficient methods, domain adaptation
• Retrieval‑Augmented Generation (RAG): Document pipelines, vector databases, retrieval workflows
• AI Agents: Tool use, multi‑step reasoning, automation patterns
• Multimodal AI: Vision‑language models, video analysis, interactive media chatbots
• Hands‑On Use Cases:
  • Intelligent document‑based chatbots
  • Search & recommendation assistants
  • Video‑based conversational agents
  • Interview bots for expert knowledge capture
• Authenticity & Security: C2PA, provenance, compliance, responsible AI guidelines

This tutorial is designed for developers, media technologists, innovation leads, and anyone creating AI-driven applications in media environments.

Vibe Coding: Superpower or Footgun? A Hands-On Reality Check

So, How Are Your Agents? — 365 More Days in the Life with AI

Voice AI for the professional Media Post-Production

Reinventing Content Discovery with Generative AI: Automated Previews, Chapters, and Highlights at Scale

Beyond Dashboards: How ARTE and EINBLIQ.IO Use AI Agents for Automating Streaming Operations

AI in Ad Sales: How RTL Uses AI Across the Entire Sales Funnel

The agentic AI mindset

Memes, Internet Culture & AI: How We Build Automated Workflows for Viral Social Media Content

Wikidata and Journalism in the Age of GenAI

The role of a Trust Service Provider in the area of Content Credentials and C2PA

CORRECTIV.Faktenforum: Collaborative Fact-Checking as Data Infrastructure

Fighting deepfakes and privacy harm at internet scale

From Voice to Subtitle to Sign Language for Live & On-Demand – Interactive Demo

MPEG-I Scene Description – A standard enabling interactive and immersive media experiences

Open Web Standards for Immersive and Virtual Worlds: A W3C Perspective

From Deepfakes to Digital Trust: Live Video Provenance with C2PA Segment Signatures

C2PA: from policy pressure to practical pilots.

From Spec to Shipping: A Practical, Open-Source Toolkit for C2PA Across Your Video Pipeline

Go Soft or Go Home: The need for soft bindings when deploying C2PA

Interactivity in Dynamic Ad Insertion

SGAI in DASH – alternative MPDs in livesim2

Server‑Side Multiview Streaming at Scale

Advanced Media Delivery in 5G-Advanced

Powering Next-Gen Media Apps with Open Standards and Open-Source

Constant Target Quality Encoding – a Solution for Single Pass Content Aware Encoding

MOQ’n’Roll: One Year of Media over QUIC in a Global Live Streaming Platform

The Art of the Switch: Seamless Rate Adaptation in MOQtail

Introduction to L3D-DASH

QUIC and MOQ meet Network Coding

Green Streaming – Learnings, Results and future Challenges

Serving Smarter: Predictive Resource Management in CDNs

Sustainable Cloud Production and how TAMS boosts your workflows

Delivering Sustainable Streaming for Public Service Media

Greener Streaming by Design: Sustainability Guidelines and  CO₂ Accounting

Sustainability in the ZDF Streaming-Portal

Enabling Energy-Efficient Luminance-Adaptive Video Streaming

True Cost of Digital Marketing – How to manage the hidden cost in marketing

From Estimates to Evidence: The GoS Journey and What’s Next

The Media Web Night will take place at the BRLO BRWHOUSE

Keynote: Houston, We Have a Stream – The NASA+ ARTEMIS II Mission Streaming Experience

Conference Opening by MWS Chairs

Keynote: Scaling Live Streaming for the World

Beyond Buzzwords: How AI Is Reinventing the Media Industry

The global DVB-I revolution: bringing the live TV button back!

by Backscreen, Cloud Germany, Ericsson, EZDRM, Interdigital,  LOGIC media solutions, Nanocosmos, Sony Europe, Verimatrix

Piracy Has Gone Industrial – Why Reactive Defense Fails and How to Fix It

OpenMOQ – a collaborative effort to advance media streaming

The AI Hype Cycle Is Over. Now What the F*ck Actually Works?

Enabling Streaming at the Edge with Standards

VVC: Unlocking the Next Generation of Video Efficiency

Content provenance and authenticity

Rethinking Media Production: A pure Time-Based Revolution

Synergies of 6G and AI

cloudgermany: The Value of a Secure and Sovereign Cloud Infrastructure

Chatbots for Streaming Content Discovery – insights from research across Europe and the US

From Unicorn to Pegasus: Platform Ownership as a Strategic Advantage in FAST

Streaming Interoperability and Standardization Across DVB, HbbTV, and CTA WAVE

One Codebase to rule them all – How to tackle platform fragmentation for streaming apps in 2026