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Jan Ozer

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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.

The Future of Video Marketing: Dive Into Automation Programs

Let’s face it. For-profit enterprises post videos, hold webinars, and produce virtual events to drive sales. How effective are these mediums for that purpose? There’s lots of positive anecdotal evidence, but where are the hard numbers?

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How Netflix Pioneered Per-Title Video Encoding Optimization

The Netflix blog post entitled Per-Title Encode Optimization boldly declares that “to deliver the best quality video to our members, each title should receive a unique bitrate ladder, tailored to its specific complexity characteristics.”

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Survey Results In: DASH Squeaks Win over HLS

Late last year I ran a survey asking respondents to choose whether DASH or HLS was the best ABR format going forward. The poll results are in and are shown below. Basically, a small majority preferred DASH over HLS. The reasons why are even more illuminating, and are presented below the survey results. “Not sure why i wouldnt cover both …

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Survey: CBR, VBR, or Other for ABR Streaming

The recommended bit rate control technique for VOD files produced for adaptive streaming is one of the most fundamental decisions encoding professionals make, but in my view also one of the most confusing. If you scan the white papers on the topic, most recommend using constant bit rate (CBR) encoding to simplify the stream selection process. On the other hand, …

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Life After Flash: Will Producers Move to HLS, DASH, or Both?

The great migration from Flash to HTML5 is underway. For many producers, this means a switch from RTMP or HTTP Dynamic Streaming to a more HTML5-friendly format. Typically the choice comes down to either HLS or DASH. To help tease out the pros and co

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Ozer Announces Webinar on Content-Aware Encoding

Jan Ozer                                                                                               FOR IMMEDIATE RELEASE Streaming Learning Center 276-238-9135 [email protected] Ozer Announces Webinar on …

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Webinar: Content-Aware Encoding-Applying Lessons Learned from Netflix’s Per-Title Optimization Blog Post

Webinar on Content-Aware Encoding; January 26, 2016 at 2:00 PM EST.  The ideal encoding ladder accomplishes two things-it creates great visual quality and uses the optimum amount of data, keeping audiences and finance happy at the same time. But what is the ideal encoding ladder?  At one extreme, in its post Per-Title Encode Optimization, Netflix recently blogged about how each …

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TN2224 is Dead. Welcome to the New Era of Content-Aware Encoding

The Netflix blog entitled, Per-Title Encode Optimization, boldly declares that “to deliver the best quality video to our members, each title should receive a unique bitrate ladder, tailored to its specific complexity characteristics.” In a world where many companies simply deploy Apple’s recommendations from TN2224 without modification, it’s a breath of fresh air. The blog post goes on to detail …

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HEVC Advance Releases Revised Licensing Terms

When HEVC Advance first proposed royalty rates and policies in July 2015, the terms were almost universally criticised, if not vilified. Recognizing that the proposed structure would slow HEVC adoption rather than promote it, HEVC Advance has issued

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SSIMWave SQM Review: Frustrating Video Quality Measurement

The perfect video analysis tool combines a video quality metric that accurately predicts the subjective ratings of real human eyes with the ability to show these quality differences to the operator. While SSIMWave makes a strong case that its SSIMplu

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