re[FRAME] — An inaugural Video Engineering Conference
Conversations about video technology presented by and for engineers
New York City is home to a diverse community of engineers, data scientists, and analysts working in the online video space. The Video Tech NYC meetup has a regular attendance of dozens of engineers and the group itself has over 800 registered members.
As another way of expanding this community, I am excited to announce a brand new annual conference for video engineers — re[FRAME].
re[FRAME] is a free video technology conference for engineers, brought to you by engineers throughout the industry. They will share their challenges and the technical solutions built for online video while stepping outside of the traditional upload-transcode-deliver workflow. There is so much that happens between the frames of a video and we want to talk about it.
Why Attend?
Relevant & Technical — Video continues to be the fastest growing digital medium. re[FRAME] talks will be focused on video technology for video engineers and are not geared toward any specific software tools or vendor.
Curious & Forward — Asking questions and thinking about the future is encouraged. Every conversation is framed with the idea that problems of tomorrow are solved by understanding why, what, and how.
Free & Open — Engagement is fundamental to growing, sharing, and building an active community. Offering this conference gratis allows anyone from the industry to attend and help strengthen NYC as a hub for video technology. re[FRAME] is open and inclusive to the entire video community.
Our inaugural video engineering conference will be held on March 6th at the new SPYSCAPE Museum. Register here!
Interested in speaking?
re[FRAME] is looking for video engineers, developers, and technical experts to present to their industry peers. re[Frame] topics will be technical and practical with an emphasis on using machine learning and data signals to reshape the future of video. Topics can include but are not limited to:
- Machine learning
- Video QoS/QoE
- Video quality and delivery optimization
- Low-latency streaming
- Developing large scale services
- Video data science backed services
- Tools for video processing at scale
- Video frame/image analysis
- Microservices
Fill out this form before February 14th for your chance to present to your peers.
