Tag Archives: encoding review

If you’re producing solely H.264-encoded video, optimizing your encodes can save you bandwidth costs and deliver a higher quality experience to your viewers. If you’re considering adding HEVC or AV1 to the mix, you have another reason. Before you attempt to compute the bandwidth savings and quality improvements these codecs deliver, you should know just how much quality and bitrate …

The new Portfolio feature in SLC Bitrate Explorer (SBE) version 2.0 aggregates BD-Rate and break-even results across multiple source files. This walkthrough covers the workflow from data entry to Excel export. Portfolios were NOT available in SBE version 1.0. If your version doesn’t show the portfolio buttons described below, you can upgrade to the new version below. This article was …

Here’s the question on the table. x264’s veryslow preset delivers better quality than the medium preset but takes roughly 4x longer to encode, boosting your encoding costs by a healthy 4x (2-3x if using a cloud encoder). Which is the right preset for you, medium or veryslow? Like everything else in streaming, it depends. By way of background, in a …

Developing a metrics tool is the easy part. Wire up FFmpeg, shell out to libvmaf, parse the JSON, draw a pretty line chart. It’s a weekend project, and the part they show you at vibe-coding camp. The part they don’t show you are the edge cases: the files that are a frame short, the variable frame rates that quietly drift, the …

I recently consulted with a company that was running capped CRF-type encoding across four codecs simultaneously: x264, VP9, NVIDIA H.264, and NVIDIA AV1. The first two were VOD encoding, the second two live. I was genuinely impressed by the sophistication and practicality of this video engineering setup, so I asked the client if I could share what they were doing. …

Before comparing your existing H.264 encodes to HEVC, AV1, or any other advanced codec, you need a baseline you can trust. In practice, many codec efficiency claims collapse once you examine how inefficient the underlying H.264 ladder actually is. This article focuses on fixing that baseline before any codec comparison begins. Let’s take a step back. This is the second …

I recently hosted a Streaming Media Connect panel titled “Benefits and Trade-Offs of Adopting and Implementing Codecs.” The contributors were Hassene Tmar from Meta, Behnam Kakavand from Evolution Gaming, and analyst Alex Davies from Rethink TV. The most striking information was not about future codecs. It was about what AV1 deployment looks like when real companies actually do it. You …

When I published When Metrics Mislead: Evaluating AI-Based Video Codecs Beyond VMAF earlier this year, the takeaway was blunt: traditional video quality metrics like PSNR, MS-SSIM, and VMAF simply can’t be trusted for AI-based codecs. My tests with Deep Render, and supporting research from JPEG AI and Microsoft’s MLCVQA project, showed that those metrics consistently underrate the perceived quality of …

Dan Rayburn recently published the video and slides from my NAB Streaming Summit session, where I walked through real-world techniques to optimize x264 and x265 for quality and efficiency. No AI, no codecs from 2030, just practical optimizations that work today. If You’re Still Encoding with x264 and x265—Good You don’t need to jump to AV1 or VVC to get …

Recently, I reviewed the Deep Render AI codec and noticed a substantial disconnect between subjective and objective results. Subjective testing showed Deep Render with a 45 percent BD-Rate advantage over SVT-AV1. VMAF showed just 3 percent. While subjective evaluation has always been the gold standard, this gap forced a more basic question: how accurate are traditional objective metrics when applied …