I recently had the privilege of chatting with Dr. Elena Alshina about JPEG AI; the video is below. Dr. Alshina is a prominent figure in the field, serving as the Audio Visual Lab Director and Director of the Media Codec and Standardization Lab at Huawei. She also plays a leading role in various international standardization projects, including for JPEG AI. …
Read More »Simplify Your Workflow: Command-Line Variables in FFmpeg Batch Files
Creating batch files with variables is one of the more efficient ways to run FFmpeg. However, most producers build their batch files with variables inserted directly into the batch file, which means that you have to customize each batch file for different source files or encoding parameters. This is particularly inefficient when you’re encoding multiple files to different encoding parameters; …
Read More »Navigating Rate Shaping and Zero Rating: Key Takeaways from Qwilt’s Findings
Many streaming publishers focus on the top rung of their encoding ladders and let the rest fall where they may. Recently released survey findings from Qwilt indicate that publishers serving a high percentage of mobile viewers should also focus on the middle rungs, as zero rating and rate-shaping make these the most highly viewed rungs on some mobile networks. The …
Read More »Protected: LinkedIn Live: How to Nail for Your First Event
There is no excerpt because this is a protected post.
Read More »SMNYC 2024: Streaming Learning Center’s Jan Ozer Talks AI, Codecs, and Patent Pools
At Streaming Media NYC 2024, Tim Siglin interviewed me (Jan Ozer) about how the Streaming Learning Center has expanded into a platform offering courses on streaming-related topics to help technical people in the industry become familiar with terms, technologies, best practices, and tools. He also talks about machine learning, the shift towards Neural Programming Units (NPUs), and the legal and …
Read More »JPEG AI Is Coming: What You Need to Know
This article provides an overview of JPEG AI, which delivers superior compression efficiency and improved performance for AI tasks like object detection. JPEG AI is an initiative by the Joint Photographic Experts Group (JPEG) aimed at developing a learning-based image coding standard that uses machine learning techniques to achieve superior compression efficiency, offering a compact representation optimized for both human …
Read More »From SEO to AI Overviews for Content Marketers
This post describes Google’s transition from SEO to AI Overviews for content marketers and offers nine tips for smoothing your transition. By way of background, the Streaming Learning Center is content-driven, and we’ve always tried to adhere to SEO best practices. Now that we are writing for other websites, our focus on SEO has become even more critical. As you’ve …
Read More »Solveig Offers Free Tier for Zond 265 File Analysis Tool
Zond 265 is a very useful file analysis tool, but like all such tools, it’s a bit pricey. Now, there’s a free version that might meet your needs. I’ve been a longtime user of Zond 265, the powerful tool from Solveig Multimedia for in-depth analysis of HEVC, H.264, AV1, AVC, and MPEG-2 video bitstreams. While Zond 265 has been invaluable …
Read More »What is MV-HEVC
Multiview High Efficiency Video Coding (MV-HEVC) is an advanced video compression standard that extends the capabilities of High Efficiency Video Coding (HEVC), also known as H.265. MV-HEVC is designed to efficiently encode multiple views or perspectives of a scene within a single video stream, making it particularly useful for 3D video content. This technology allows for stereoscopic effects, giving the …
Read More »Deep Thoughts on AI Codecs and Encoders
This post focuses on AI in preprocessing and encoding products. I’ll examine two aspects: how to consider AI in encoding performance and how to consider AI in the user interface and operation. I’ll conclude by discussing where I see AI going in codec development over the next few years. For perspective, I recently spoke with more than twenty companies for …
Read More »