Video AI
AI and machine learning have huge potential for improving the quality of experience (QoE) for consumers as well as providing more cost-efficient, environmentally friendly solutions for streaming providers.
It’s something Bitmovin and ATHENA have been researching for a few years now; and the practical applications of AI for video streaming are vast.
We’re exploring the potential uses from several angles, from boosting visual quality and upscaling older content to more intelligent video processing for adaptive bitrate (ABR) switching.
Outside of our work with ATHENA, we’re also actively developing AI features within our core products to make them even more powerful for video developers.
We’re exploring new possibilities and experiments in internal hackathons, quickly validating how AI can be used to improve our video solutions.
The first of which resulted in our Analytics AI Session Interpreter; a feature that helps our users to understand playback sessions with explanations and recommendations for how to improve their service.