Streaming Learning Center Where Streaming Professionals Learn to Excel
Deciding whether to encode on-premise or in the cloud is one of the most critical …
Read More »
Protected: LinkedIn Live: How to Nail for Your First Event
There is no excerpt because this is a protected post.
Read More »-
Encode on-Premise or in the Cloud
Deciding whether to encode on-premise or in the cloud is one of the most critical decisions facing a…
-
Installing and Using FFMetrics to Compute and Visualize VMAF, SSIM, and MS SSIM Metrics
This tutorial teaches you how to install and use FFMetrics, a free tool that lets you compute and vi…
-
Don’t Sacrifice Usability On the Altar of Design
I took two pictures of clocks in my kitchen this morning, on the left is the microwave, on the right…
-
Testing EVC, VVC, and LCEVC
This article compares VVC, EVC, and LCEVC with H.264, HEVC, and AV1. Its’ useful if you’…
-
Moscow State’s Dr. Dmitriy Vatolin Talks Codecs, Metrics, and Video Quality
Dr. Dmitriy Vatolin is the Head of the Moscow State University Graphics and Media Lab and one of my …
-
Encode on-Premise or in the Cloud
Deciding whether to encode on-premise or in the cloud is one of the most critical …
Read More » -
Installing and Using FFMetrics to Compute and Visualize VMAF, SSIM, and MS SSIM Metrics
-
Don’t Sacrifice Usability On the Altar of Design
-
Testing EVC, VVC, and LCEVC
-
Moscow State’s Dr. Dmitriy Vatolin Talks Codecs, Metrics, and Video Quality
Recent Posts
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 »