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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film restoration using Visionular's AuroraEnhancer technology

Using AI & ML to Enhance the Visual Appeal of Video

Stories are what bind us, and it has been this way throughout human history. Through stories, people share their society’s values, the knowledge of past generations and their dreams for the future. And there has never been a more powerful, immersive and beautiful way to tell those stories than through film. Enabling that film to look as good as it can is what drives our team of more than 50 video codec, algorithm, and signal processing engineers. The devices we stream video on today are unforgiving. Every flaw in the original source, bit of noise, and artifact, is under the microscope...

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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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HUYA Delivers Improved Viewing Experience With Visionular

Esports gaming is the fastest-growing sector of sports entertainment. Thus, it’s no surprise that the HUYA Live Broadcasting Platform streamed content to 85.1 million MAU’s for 131 esports tournaments with a total viewership of 590 million in the third quarter of 2021. Esports as a competitive category is coming into its own and this is causing the pace of growth and consumer interest to make technology innovation essential. HUYA (NASDAQ: HUYA) is a technology-driven platform and to deliver a consistently great streaming experience they turned to Visionular’s Aurora1 AV1, and Aurora5 HEVC video encoders to stream the highest quality at the lowest bitrate. Recently, HUYA...

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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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Stage.in – Enhanced Video Quality at Lower Costs

Los Altos, CA: Visionular are thrilled to announce our recent partnership with Stage.in, the leading Indian OTT service that was recently featured on Shark Tank. We are proud to have been chosen as their video encoding technology partner. One of the key advantages of using AuroraCloud is its ability to save 25-35% on CDN delivery costs while delivering high-quality video to their viewers. With AuroraCloud’s advanced compression technology, Stage.in is able to reduce the amount of data that needs to be transferred and stored. This not only saves them money on CDN delivery but also enables them to deliver high-quality video to their users with...

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2021 MSU Codec Study Subjective Results

The Visionular Aurora1 AV1 encoder beat all AV1 implementations for the third year in a row using both subjective and objective quality metrics. Aurora1 beat all encoder implementations for the quality and efficiency use-case based on subjective viewing evaluation. Aurora1 enables services to save more than 60% compared to x265 reference encoder while maintaining perceptually identical visual quality. The annual Moscow State University Codec Study completed by the Graphics and Media Lab Video Group represents the best round up of video codec implementations in the video streaming and delivery industry. Video encoding engineers worldwide rely on this comprehensive and objective study to guide their...

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MSU Codec Study Full HD 2020 Results

The Visionular Aurora1 AV1 encoder beat all AV1 implementations for the second year. Aurora1 proved to be twice as efficient as x264. Using the Aurora1 AV1 encoder, video services can move to the royalty-free AV1 codec standard without incurring burdensome operational costs. Aurora1 enables services to save more than 50% on their delivery bitrate while maintaining the same visual quality. The annual Moscow State University Codec Study completed by the Graphics and Media Lab Video Group represents the best round up of video codec implementations in the video streaming and delivery industry. Video encoding engineers worldwide rely on this comprehensive and objective study to guide their codec selection...

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2019 MSU Codec Study Full HD & 4K

The Visionular Aurora1 AV1 encoder proved much more efficient than x264, requiring nearly half the encoding bitrate to reach the same YUV-SSIM metric. This was achieved with an additional compute time of just 35%. With the Aurora1 AV1 encoder, services can be confident to move to the advanced AV1 codec standard without incurring overly burdensome operational costs. Aurora1 enables services to save 50% on their delivery bitrate while maintaining the same visual quality. The annual MSU codec study has become an important competitive marker for video codec and encoding technology developers. Though most all commercial video service companies and operators...

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