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Demuxed 2025

Demuxed 2025: The 11th edition of the best damn conference in the world for video engineers. October 29th & 30th, 2025, London.

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Demuxed 2025 Skip navigation Venue Speakers Schedule About Us Sponsors Toggle mobile navigation /demuxed Window title: demuxed - x The conference for video devs Pack your bags, renew your passports; for the first time, Demuxed is coming to London! October 29th & 30th BFI Southbank, London, UK Watch VOD Join our mailing list ◿ Resize window Venue Speakers Schedule About us Sponsors /demuxed/venue-and-location Window title: demuxed > venue and location - x Venue & location BFI Southbank - London Belvedere Rd, London SE1 SXT We're hosting Demuxed 2025 at BFI Southbank, which is basically the perfect venue for a bunch of video nerds to gather and argue about codecs. Located right on the Thames with those iconic brutalist concrete vibes, it's been the home of serious film culture since the 1950s. The BFI has been preserving and celebrating moving images for decades, so there's something beautifully fitting about bringing the Demuxed community to a place that's spent so much time thinking about how to keep video alive for future generations. Plus, the location puts you right in the heart of London's South Bank, with proper pubs and decent coffee within walking distance. ◿ Resize window See map /demuxed/photos Window title: demuxed > photos - x ◿ Resize window /demuxed/photos Window title: demuxed > photos - x ◿ Resize window /demuxed/photos Window title: demuxed > photos - x ◿ Resize window /demuxed/photos Window title: demuxed > photos - x ◿ Resize window /demuxed/photos Window title: demuxed > photos - x ◿ Resize window /demuxed/speakers Window title: demuxed > speakers - x Speakers Al·lodi Jutglà Serrat Bitmovin Talk Overview Chaitanya Bandikatla TikTok Talk Overview Christian Pillsbury Mux Talk Overview David Payr Mediabunny Talk Overview David Springall Yospace Talk Overview Farzad Tashtarian University of Klagenfurt Talk Overview Hadi Amirpour University of Klagenfurt Talk Overview Henry McIntyre Vimeo Talk Overview Joanna White British Film Institute National Archive Talk Overview Joey Parrish Talk Overview Jonathan Lott AudioShake Talk Overview Jordi Cenzano Meta Talk Overview Julien Zouein Trinity College Dublin Talk Overview Karl Shaffer Google Talk Overview Luke Curley hang.live Talk Overview Matt McClure Demuxed Talk Overview Mattias Buelens Dolby Laboratories Talk Overview Nicolas Levy Qualabs Talk Overview Nigel Megitt BBC Talk Overview Oli Lisher Talk Overview Olivier Cortambert Yospace Talk Overview Pedro Tavanez Touchstream Talk Overview Prachi Sharma JioHotstar Talk Overview Rafal Leszko Livepeer Talk Overview Ryan Bickhart Amazon IVS Talk Overview Sam Bhattacharyya Katana Talk Overview Steve Heffernan Mux Talk Overview Ted Meyer Google Talk Overview Thasso Griebel Castlabs Talk Overview Thomas Davies Visionular Talk Overview Tomas Kvasnicka CDN77 Talk Overview Vittorio Giovara Vimeo Talk Overview Zac Shenker Fastly Talk Overview Zoe Liu Visionular Talk Overview ◿ Resize window /demuxed/speakers/allodi-jutglà-serrat Window title: demuxed > speakers > Al·lodi Jutglà Serrat - x Hadi Amirpour University of Klagenfurt Al·lodi Jutglà Serrat Bitmovin Your Player is Smarter Than You Think: Self-Learning in Adaptive Streaming Bitrate ladders are getting smarter—and it’s not just about resolution anymore. With modern streaming spanning everything from underpowered devices to GPU-rich endpoints, it’s time for bitrate ladders to adapt to the capabilities of the client, not just the content. Enter DeepStream: a scalable, per-title encoding approach that delivers base layers for legacy CPU-only playback and enhancement layers for GPU-enabled clients, powered by lightweight, super-resolution models fine-tuned to the content itself. DeepCABAC keeps these enhancement networks compact, and smart reuse of scene and frame similarities slashes the cost of training. But training every frame of a video? That doesn’t scale. To make deep video enhancement practical, Efficient Patch Sampling (EPS) pinpoints just the most information-rich regions of each video using fast DCT-based complexity scoring. The result? Up to 83% faster training with virtually no quality loss—saving compute without compromising QoE. And here's where it gets really exciting: during playback, the client starts learning. When a resolution switch happens, previously downloaded high-res segments are downsampled and used to locally train or fine-tune super-resolution models in real-time—right on the device. No extra bits, no cloud-side retraining. Just smarter, self-improving video playback that adapts to network conditions, device power, and content complexity on the fly. It’s a glimpse into the future of adaptive streaming—intelligent, efficient, and personal. ◿ Resize window /demuxed/speakers/chaitanya-bandikatla Window title: demuxed > speakers > Chaitanya Bandikatla - x Chaitanya Bandikatla TikTok Tomas Kvasnicka CDN77 Improving Video Delivery and Streaming Performance with a "Media-First" Approach for CMAF In our ongoing effort to enhance live streaming efficiency and viewer experience, we at TikTok partnered with CDN77 to explore a new approach called “Media First” This talk will examine how Media First transforms segment-based video delivery by merging multiple CMAF chunks into unified media objects and leveraging intelligent CDN edge logic. By combining media segments and applying dynamic URL rewriting at the edge, the CDN ensures that each viewer receives the freshest and most cacheable version of the video, even under real-time constraints. By shifting cache logic from “manifest-first” to “media-first,” we observed significant improvements in cache hit ratio, startup time, and stream stability. Specifically, we reduced origin fetches during peak events, improved playback startup predictability across diverse network conditions, and achieved a 2.5% reduction in first-frame delay and a 9% reduction in stalling. This talk highlights the architectural and operational collaboration between TikTok and CDN77 engineering teams, including lessons learned from edge compute deployments, manifest adaptation, and adaptive delivery strategies. Key Takeaways: * Media First Architecture: How merging segment groups and rethinking cache hierarchy enables higher media availability and CDN efficiency. * Edge URL Rewriting: How real-time request rewriting delivers the most current media while minimizing origin MISS traffic. * Performance Gains: Insights into how Media First improves QoE metrics, including startup latency, resolution stability, and playback resilience. * Cross-Team Innovation: Lessons from collaborative development between application logic and CDN infrastructure to advance live streaming capabilities. This talk will be co-presented by engineers from both companies and will include real-world production metrics and implementation details. ◿ Resize window /demuxed/speakers/christian-pillsbury Window title: demuxed > speakers > Christian Pillsbury - x Christian Pillsbury Mux The Great Divorce: How Modern Streaming Broke Its Marriage with HTTP For over a decade, HTTP Adaptive Streaming was the poster child for how standards should work together. HLS, DASH, and their predecessors succeeded precisely because they embraced HTTP's caching, took advantage of CDNs, and worked within browser security models. But here's the inconvenient truth: many of our newest streaming "innovations" are systematically breaking this symbiotic relationship. Multi-CDN content steering requires parameterizing URLs (for both media requests and content steering polling) and client/server contracts that inherently and literally remove browser cache from the equation. CMCD v2 abandons JSON sidecar payloads for either query parameters that cache-bust every request or custom headers that trigger double the network requests due to CORS preflight checks. Signed URLs with rotating tokens make browser caching impossible. We've become so focused on solving today's edge cases that we're undermining the fundamental advantages that made HTTP streaming successful in the first place. In this session, you'll discover how seemingly innocent streaming standards are creating a hidden performance tax of 2x network requests, cache invalidation, and resource waste. You'll learn why CORS preflight requests and RFC 9111 cache key requirements are putting streaming engineers in impossible positions, forcing them to choose between security and performance. Most importantly, you'll walk away with practical strategies using service workers and cache API to work around these issues client-side, plus concrete recommendations for how we can evolve both streaming and web standards to work together instead of against each other. Because the future of streaming isn't about bypassing the web—it's about making the web work better for streaming. ◿ Resize window /demuxed/speakers/david-payr Window title: demuxed > speakers > David Payr - x David Payr Mediabunny Performant and accessible client-side media processing with Mediabunny Traditionally, web apps that needed media processing had to choose between server-side pipelines, massive FFmpeg WASM builds, or work with the limited set of HTML5 media APIs. These solutions were often slow, expensive, or too inflexible for more complex use cases. WebCodecs changed the game by exposing direct access to the browser’s media pipeline, making us dream about what the web could deliver: powerful, super-fast video editors, DAWs, recorders, converters, all running entirely on-device. But if you've used WebCodecs, you'll know it's low-level, somewhat advanced, and only one piece of the puzzle. To build serious media apps, you need much more. Enter Mediabunny, a new library purpose-built from scratch for the web to be a full toolkit for client-side media processing. It unifies muxing, demuxing, encoding, decoding, converting and streaming under a single API and embraces the web as a platform. I'll share the origin story of how a 3D platformer game accidentally pulled me into media processing, and how lessons learned from my previous libraries mp4-muxer and webm-muxer shaped Mediabunny's final design. We'll briefly explore its architecture and show a demo, and discuss how it can power a new generation of highly performant web-based media tools. ◿ Resize window /demuxed/speakers/david-springall Window title: demuxed > speakers > David Springall - x David Springall Yospace Olivier Cortambert Yospace Another talk about ads, but this time what if we talked about the actual ads?? In 2019, the ​​Interactive Advertising Bureau (IAB) released the Secure Interactive Media Interface Definition (SIMID). This format allows Publishers/Advertisers to have a player display an Ad on top or alongside their stream. Two years later, Apple engineers released HLS Interstitial and that’s how Server Guided Ad Insertion (SGAI) was born. Fast forward to 2025, DASH is getting support for SGAI and SGAI is trending. And one of the reasons it is trending is that it allows players to “easily” display new ad formats - in the form of an ad on top of or alongside the stream. Now, we are seeing demos with streams having fancy ads that fade in/out, play alongside content in the corner or take an L-shape part of the screen. But no one is telling you how you sell this space, how you signal a side-by-side ad, what type of media formats the ads need to be etc… Actually, it’s not that no-one talks about it, it’s that no-one in the streaming industry talks about it, but the ad folks (ie. the IAB) are actually working on it. And, *spoiler alert*, they talk about SIMID not SGAI. What if we (the streaming tech world) actually talked to our customers (the ad ecosystem)? What if we actually focused on what really matters: better ads for a better viewer experience? In this talk, we will go through the different cognate words that make it hard for us to understand ad people. We will of course have a couple of w…