Streaming Learning Center provides specialized training and consulting services for streaming media professionals, focusing on technical onboarding and practical skills for tools like FFmpeg and Wowza Streaming Engine. The company offers courses on encoding, codecs (H.264, HEVC, AV1), video quality metrics, and live streaming, helping video producers optimize encoding ladders and deploy new codecs efficiently. Led by industry expert Jan Ozer, the company also provides encoding-related testing services for encoder developers and contributes to Streaming Media Magazine. Its differentiated approach combines hands-on training with consulting to solve real-world streaming challenges.
CDN77 has deployed thousands of NETINT Quadra T1U transcoders to support high-volume, user-generated live streaming. The company selected the ASIC-based hardware for its superior power efficiency and density compared to GPU-based encoding, achieving a 10% quality improvement at low bitrates.
CDN77 plans to launch a public Media over QUIC (MoQ) offering following the stabilization of the IETF standard, which is expected by the end of 2026. The protocol aims to replace HTTP request/response models with a publish/subscribe architecture to improve latency and efficiency for interactive social and user-generated content.
A course on computing and using video quality metrics for encoding professionals.
Recent developments in the VVC ecosystem, including hardware support in MediaTek chipsets, Android 17 framework integration, and an open-source decoder initiative by MC-IF and Ittiam, are aimed at accelerating codec adoption. These efforts, alongside large-scale deployments by Tencent, seek to overcome the playback bottleneck and reach the 30% device adoption threshold necessary for economic viability.
The Munich I Regional Court has issued non-binding FRAND guidelines proposing a top-down royalty calculation for streaming services based on subscription revenue. The methodology suggests monthly per-subscriber royalty rates for platforms like Netflix and Disney+, though the specific technologies and codecs covered remain undefined.
Bitmovin has released its 10th annual Video Developer Report, which surveyed 486 industry professionals on current and planned usage of codecs, AI, and delivery protocols. The report highlights the continued dominance of H.264 in production while noting significant industry interest in AV1, VVC, and AI-driven workflow automation.
The Munich I Regional Court has issued non-binding FRAND guidelines proposing aggregate monthly codec royalties for streaming services, specifically citing Netflix and Disney+ as examples. The court rejected arguments that device-level licensing exhausts patent rights, asserting that streaming providers are independently liable for video codec royalties.
Amazon's acquisition of MX Player and Dolby's $429 million purchase of GE Licensing's patent portfolio suggest a potential increase in industry momentum for the VVC codec. These developments highlight the ongoing interest in VVC for software-based playback and the strategic importance of codec patent portfolios for major technology players.
Major platforms like Amazon Prime Video and YouTube are increasingly deploying AI-driven dubbing to scale content localization and reach global audiences. The technology presents new integration opportunities for encoding vendors and localization agencies, though early user feedback highlights challenges regarding quality and lack of viewer control.
Microsoft has open-sourced its Machine Learning Video Codec (MLVC) under the MIT License, which is designed for real-time video conferencing on consumer-grade NPUs. The codec utilizes a scale-sharing hyperprior mechanism to resolve cross-platform floating-point drift and is currently undergoing production testing within Microsoft Teams.
Streaming Learning Center has launched SLC Bitrate Explorer 2.0, adding a Portfolio feature to aggregate BD-Rate and cost-benefit analysis across full video libraries. This update allows streaming engineers to compare performance metrics and distribution costs across multiple codecs and encoding configurations.
