At Mile High Video 2025, I sat down with Jean-Baptiste Kempf (JB), founder of Kyber and lead developer of VLC, to discuss his latest innovations in ultra-low latency video control. JB is well-known in the open-source community for his work on VLC Player and FFmpeg, and now, with Kyber, he’s pushing the boundaries of real-time machine control. You can watch …

At Mile High Video 2025, I spoke with Adeia VP of Advanced R&D Chris Phillips about Adeia’s latest advancements in video optimization and ultra-low latency streaming solutions. It was an interesting chat, which finds Adeia at the forefront of developing technologies that improve video quality and reduce latency—key challenges for cloud gaming and real-time streaming. You can watch the interview on …

Jan Ozer recently caught up with Beamr’s Sharon Carmel at Mile High Video 2025. The two talked about Beamr’s latest advancements in real-time content-adaptive bitrate (CABR) optimization, super-resolution technology, and codec modernization. They also discussed Beamr’s collaboration with NVIDIA and how AI is shaping the future of video streaming. You can watch the interview on YouTube here, and it’s embedded …

AI-based video compression has been discussed in research for years, but practical implementations are virtually nonexistent. In a recent conversation with Arsalan Zafar, CTO and co-founder of Deep Render, and Sebastjan Cizel, Head of Engineering, we explored the real-world performance of Deep Render’s AI codec real-world encoding and decoding performance, how its quality compares to HEVC, AV1, and VP9, and …

When my daughter owned a Tesla during her college years, one thing I never thought to do was play YouTube videos on the LCD panel. It turns out that was a good call—if I had tried to stream AV1 content, playback performance likely would have been choppy and disappointing. Why bring this up? Tesla recently announced that it was rolling …

I recently interviewed Chri Besenbruch, CEO of Deep Render, to discuss their end-to-end AI codec technology. Unlike traditional codecs like HEVC, VVC, and VP9, Deep Render’s AI codec shifts the entire encoding/decoding process to neural networks, promising faster performance and improved efficiency. The YouTube video of our talk is embedded below. Key Takeaways: • Fast Encoding & Decoding: Comparable to …

We all know the trade-offs of Client-Side Ad Insertion (CSAI) and Server-Side Ad Insertion (SSAI). CSAI offers real-time personalization but is vulnerable to ad blockers and playback hiccups, while SSAI ensures smooth playback and circumvents blockers but lacks real-time targeting and can be expensive. Now, a new technology has entered the scene: Server-Guided Ad Insertion (SGAI). But what exactly is …

This paper, entitled, C3: High-performance and low-complexity neural compression from a single image or video, and authored by a team from Google DeepMind (Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Schwarz, and Emilien Dupont), introduces DeepMind C3, a neural compression method designed to deliver low decoding complexity while achieving competitive rate-distortion (RD) performance. The authors are recognized for their contributions …

The white paper, authored by researchers from the University of Science and Technology of China, introduces a novel approach to addressing the limitations of pre-trained learned image compression (LIC) models. These models, while effective within the domains they were trained on, often falter when applied to new, domain-specific data. To overcome this, the researchers propose lightweight adapters that allow efficient …

While researching my State of the Codec Market article for the 2025 Streaming Media Sourcebook, I stumbled upon an intriguing report from LexisNexis that sheds light on the patent ownership landscape for VVC and HEVC (link to report). For me, the report helped answer two critical questions: Will VVC be the next codec implemented on Smart TVs? Will AOMedia companies …