Visionular Intelligent Optimization Technology

This paper provides an introduction with technical details about Visionular’s Content-Adaptive Encoding (CAE) Intelligent Optimization technology that combines content-adaptive encoding algorithms which operate deep inside the codec, and are powered by advanced machine learning processes, image processing, and image enhancement, and controlled by a subjectively aligned quality assessment mechanism that provides the most effective video encoding solutions on the market. Built for maximum flexibility, and modern workflows, our Intelligent Optimization technology works across all use-cases from premium VOD, live broadcast streaming, to ultra-low latency RTC video conferencing and communications applications. Improved visual quality. Regardless of bandwidth limitations, our encoders are able to...

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x264 vs. AV1 Real-Time Test Results

Video encoding requirements are diverse, so video engineers must maintain benchmarks on the state of all significant encoder implementations. Working with the largest streaming services and platforms, our team routinely collects performance data of open-source implementations compared to the Visionular Aurora family of encoders. In this study, we compared x264 to our Aurora1 AV1 encoder. Twenty 1080p videos representing various characteristics common to premium and UGC live streaming were selected. The encoders were operated on an AWS C5 AMD EPYC 7R32 instance (16 cores / 32 threads). We enabled 1, 2, 3, 4, 5, and 6 concurrent FFmpeg instances using the same...

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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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What’s More Important, QOE or ROI?

ShareChat does both with their short-form video platform. ShareChat, a TikTok-like social media platform is one of India’s largest short-form video platforms boasting massive subscriber growth of 166% and 160 million monthly active users after the departure of TikTok and other popular social platforms from the country. Together with Visionular, they were able to boost platform efficiency, decrease cost and expand viewership to previous unreachable viewers. The Network Situation Despite an initiative to improve the network and its coverage called "Digital India", India’s network still suffers from slow speeds. Below you can see Speedtest's ranking of mobile and fixed broadband speeds around the world....

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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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