Optimizing User Generated Content for the World

YouTube has become the go-to platform for user-generated content (UGC), with over 2 billion daily users, 4 billion hours of video playtime daily, and 550 hours of video uploaded every minute. With such a massive vast amount of content being continuously uploaded, YouTube’s engineers need to continually optimize their video processing pipeline to handle the enormous volume of UGC (User Generated Content). In a recent episode of the VideoVerse podcast, Balu Chowdary Adsumilli, Head of Media Algorithms at YouTube, discussed the challenges of processing and transcoding UGC on YouTube’s platform. Joining Balu on the podcast were Zoe Liu, the Co-Founder and CTO of Visonular, and Thomas Davies, Distinguished Engineer of Visionular.The conversation discussed how...

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hudl uses visionular's AI-powered video compression for sports streaming

How We Help Hudl “Up” Their Video Quality Game

Is your streaming business burdened by escalating storage and CDN delivery costs? Is this affecting your profitability and threatening the sustainability of your enterprise? Continue reading to discover how Hudl, a premier sports video and analytics provider, navigated a significant storage cost challenge using Visionular's revolutionary AI-transcoding technology. Hudl, a leading provider of sports video and analytics technology, enables teams, athletes, and coaches with the tools they need to analyze game footage and improve their performance. Hudl's product finds use across a diverse array of customer segments, such as - Coaches: for team review purposes, to analyze formations, and evaluate player performances. Athletes:...

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