Machine learning is the latest digital transformation that helps streamline and personalize the user experience for all kinds of technology. This type of computing algorithm essentially “learns” what yields a positive result and what doesn’t, and continuously improves itself based on this collected data.
An everyday example of machine learning can be seen in voice recognition systems, such as Apple’s Siri, which gradually learns and improves at imitating human interaction over time. Another example can be seen in how video platforms like YouTube or Netflix use your watching history to curate a list of personalized video recommendations. This is machine learning at work.
What does machine learning have to do with video?
Machine learning is an exciting new technology that can be applied almost everywhere there’s an opportunity to improve or automate a process – including live video. There are many opportunities for machine learning applications in live video scenarios of all sizes, including large multi-camera events, smaller single-camera livestreams, and even lectures at educational institutions.
Many different kinds of software programs can adopt machine learning, such as video production apps, video animation tools, and encoding software within live production systems like Pearl-2 and Pearl Mini.
Here are 11 machine learning applications for video production to help streamline and automate the process for technicians, presenters, and viewers alike. While these applications are merely conceptual at this point, we’re excited to explore the possibilities of this exciting new technology and how it may soon apply to professional live video gear.