Jan Ozer: Opening Act, NAB 2013

I was the opening act for NAB 2013, speaking at at 8:00 AM on Saturday morning for the Society of Broadcast Engineers (SBE). The talk was on Producing for Multiple Screen Delivery and a surprisingly enthusiastic group of around 300+ broadcast engineers showed up despite the hour (you can download the handout below). Not to boast, but I’ll share a post-talk email from John Poray, the Executive Director of the SBE, who stated, “Our thanks to you! You provided a great opening for our programming. Tough to get people out at 8 am on a Saturday in LV but you garnered the largest opening crowd we’ve had since we started doing this in 1995.”

NAB.jpg

Of course, John didn’t say they left happy, but I did sell 38 copies of Producing Streaming Media for Multiple Screen Delivery at the NAB Bookstore, and the bookstore director said I would have sold many more had the books arrived on Saturday as opposed to Monday. Definitely should have paid those rush fees.

About 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.

Check Also

When Metrics Mislead: Evaluating AI-Based Video Codecs Beyond VMAF

Recently, I reviewed the Deep Render AI codec and noticed a substantial disconnect between subjective …

Deep Render: An AI Codec That Encodes in FFmpeg, Plays in VLC, and Outperforms SVT-AV1

While many AI-based codecs are still making their first appearance in white papers, often with …

Evaluating DCVC-RT: A Real-Time Neural Video Codec That Delivers on Speed and Compression

Background Authors & Affiliations: Zhaoyang Jia and Linfeng Qi (USTC), Bin Li, Jiahao Li, Wenxuan …

Leave a Reply

Your email address will not be published. Required fields are marked *