alt

Jan Ozer

Avatar photo
I help companies train new technical hires in streaming media-related positions; I also help companies optimize their codec selections and encoding stacks and evaluate new encoders and codecs. I am a contributing editor to Streaming Media Magazine, writing about codecs and encoding tools. I have written multiple authoritative books on video encoding, including Video Encoding by the Numbers: Eliminate the Guesswork from your Streaming Video (https://amzn.to/3kV6R1j) and Learn to Produce Video with FFmpeg: In Thirty Minutes or Less (https://amzn.to/3ZJih7e). I have multiple courses relating to streaming media production, all available at https://bit.ly/slc_courses. I currently work as www.netint.com as a Senior Director in Marketing.

How Firmware Helps Keep ASICs Up to Date

ASICs have an unfair (and inaccurate) reputation for being obsolete the day they leave the foundry. However, while some functions are baked into the hardware, firmware, and driver software enable continual upgrades in both features and performance. To explore these capabilities, I spoke with two members of the NETINT development team, Neil Gunn, who is NETINT’s Video Firmware Tech Lead, …

Read More »

Streaming Industry Insights: The Bitmovin Video Developer Report 2023

Streaming Industry Insights: The Bitmovin Video Developer Report 2023

The Bitmovin Video Developer Report, now in its 6th edition, is one of the most far-reaching and useful documents available to streaming professionals (now with no registration required). It’s a report that I happily download each December and generally refer to frequently during the next twelve months. Like the proverbial elephant, what you find important in the report depends upon …

Read More »

Maximizing Quality and Throughput in FFmpeg Scaling

Maximizing Quality and Throughput in FFmpeg Scaling

The thing about FFmpeg is that there are almost always multiple ways to accomplish the same basic function. In this post, we look at four approaches to scaling. We found that if you’re scaling using the default -s function (-s 1280×720), you’re leaving a bit of quality on the table as compared to other methods. How much depends upon the …

Read More »

How to Build an Encoding Ladder: What You Need to Know

Learning how to build an encoding ladder is one of the most fundamental tasks for a streaming media professional. It’s astounding how much you need to know to get it right. By way of background, the original encoding ladder used by most professionals was from Apple Tech Note TN2224, long since replaced by Apple’s HLS Authoring Specifications. This H.264-only ladder …

Read More »

Key Lessons from YouTube’s ARGOS Encoding ASIC

ASICs vs. Software-Based Transcoding: An Analysis of YouTube's Argos Transcoder

Even in 2023, many high-volume streaming producers continue to rely on software-based transcoding, despite the clear CAPEX, OPEX, and environmental benefits of ASIC-based transcoding. At least part of this inertia relates to outdated concerns about the shortcomings of ASICs, including sub-par quality and lack of upgradeability. As a parent, I long ago concluded that there were no words that could …

Read More »

What is Cloud Gaming (and Why You Care)

What is Cloud Gaming (and Why You Care)

Video games are a huge market segment, projected to reach US$221.4 billion in 2023 and expanding to an estimated US$285 billion by 2027. Of that, cloud gaming grossed an estimated US$3 billion+ in 2022 and is projected to produce over US$12 billion in revenue by 2026. If you’re not familiar with cloud gaming, the next few blog posts will bring …

Read More »

HEVC Passes AV1 on CanIUse

For some reason I can’t explain, Molly Brown’s comment from the movie Titanic, “there’s something you don’t see every day,” (while watching the doomed ship sink), has stuck with me since I saw the movie back in 1997. It recently came to mind when a colleague informed me that HEVC support had eclipsed AV1 on the CanIUse website. You see …

Read More »

Computing the payback period on ASIC-based transcoders

computing the payback period on ASIC-based transcoders

One of the most power-hungry processes performed in data centers is software-based live transcoding, which can be performed much more efficiently with ASIC-based transcoders. With power costs soaring and carbon emissions an ever-increasing concern, data centers that perform high-volume live transcoding should strongly consider switching to ASIC-based transcoders like the NETINT T408. To assist in this transition, NETINT recently published …

Read More »

SVT-AV1 vs. LibAOM

SVT-AV1 vs. LibAOM

In August 2020, the Alliance for Open Media created a software working group to “use the Scalable Video Technology for AV1 (SVT-AV1) encoder developed by Intel…to create AV1 encoder implementations that deliver excellent video compression across applications in ways that remove computational complexity trade-offs for an ever-growing video delivery marketplace.” Testing published around that time indicated that SVT-AV1 had quite …

Read More »

The Intersection of AI and Video Encoding

The Intersection of AI and Video Encoding

The intersection of video processing and artificial intelligence (AI) delivers exciting new functionality, from real-time quality enhancement for video publishers to object detection and optical character recognition for security applications. Forward-thinking product designs incorporate both video processing (decode/scale/overlay/encode) and AI to provide the optimal platform for video-related AI applications like those discussed below.   For example, I recently joined NETINT in …

Read More »