K
Kathleen Martin
Guest
Live video streaming is taking off with the global video streaming market estimated to exceed $240 billion by 2030. Driven by the media and entertainment industries which are joined by an ever-increasing number of vertical use cases, it’s hard to think of a sector where live video streaming isn’t a fundamental parameter.
However, video itself is changing. Once a passive medium delivered to be “consumed” by audiences, video today is an actionable resource that facilitates processes, enables analytical insights, and, in many cases, generates new income.
But as live video streaming is changing rapidly, transforming industries, and opening up new opportunities to content owners, the ways in which media companies capture, process, and distribute live video streams needs to be reconsidered. For video to become actionable, traceable, and monetizable, media industry players need more control and more freedom to shape the workflows they actually require and distribute video to all the right destinations.
Edge computing at the point of video origin is a paradigm shift, taking live video to the next level.
The problem with live video workflows Historically, media organizations have relied on traditional broadcast-grade equipment capturing and encoding video. While reliable, these devices are also costly and largely inflexible as they are designed for TV applications and not smaller-scale events.
On the other hand, there are the lower-end video encoders utilized by content creators for platforms like YouTube, TikTok, and Twitch. However, these encoders are tailored for specific use cases and only offer limited reliability, functionality, and flexibility.
In nearly every streaming video application, the cloud is relied upon for a significant part of the solution, be it for higher-end broadcast TV workflows all the way down to low-end workflows. The cloud overcomes compromises of the video encoder, acting as an intermediary for processing video streams and distributing them to the right platforms. However, these workflows are still subject to delays as they add extra steps to the video supply chain.
Continue reading: https://www.tvtechnology.com/opinion/how-edge-computing-unleashes-innovation-in-live-streaming
However, video itself is changing. Once a passive medium delivered to be “consumed” by audiences, video today is an actionable resource that facilitates processes, enables analytical insights, and, in many cases, generates new income.
But as live video streaming is changing rapidly, transforming industries, and opening up new opportunities to content owners, the ways in which media companies capture, process, and distribute live video streams needs to be reconsidered. For video to become actionable, traceable, and monetizable, media industry players need more control and more freedom to shape the workflows they actually require and distribute video to all the right destinations.
Edge computing at the point of video origin is a paradigm shift, taking live video to the next level.
The problem with live video workflows Historically, media organizations have relied on traditional broadcast-grade equipment capturing and encoding video. While reliable, these devices are also costly and largely inflexible as they are designed for TV applications and not smaller-scale events.
On the other hand, there are the lower-end video encoders utilized by content creators for platforms like YouTube, TikTok, and Twitch. However, these encoders are tailored for specific use cases and only offer limited reliability, functionality, and flexibility.
In nearly every streaming video application, the cloud is relied upon for a significant part of the solution, be it for higher-end broadcast TV workflows all the way down to low-end workflows. The cloud overcomes compromises of the video encoder, acting as an intermediary for processing video streams and distributing them to the right platforms. However, these workflows are still subject to delays as they add extra steps to the video supply chain.
Continue reading: https://www.tvtechnology.com/opinion/how-edge-computing-unleashes-innovation-in-live-streaming