Visionular is a passionate team of image processing and machine learning engineers, and video codec veterans from Google, Apple, Microsoft, Kingsoft Cloud, ArcSoft, and Baidu. We solve the number one problem today for video services, RTC platforms, and social networks needing to stream video at the highest possible quality using the least bits.
Founded in 2018, we’ve come a long way, but we are only getting started. Here are highlights from a few of our more notable milestones.
Agora.io RTE2020 Conference Presentations
Zoe Liu and Mark Donnigan presented two sessions at the Agora.io RTE2020 conference for technical innovators building Real-Time Engagement applications. Zoe's session titled 'AV1 Real-Time Screen Content Coding' can be watched here. Mark's 90 minute panel with Google, BlueJeans, iStreamPlanet, Cisco, and Agora, titled 'Selecting The Best Video Codec To Scale Your Apps for RTE' can be watched here.
ShareChat launches Visionular Intelligent Transcoder in the Indian market
ShareChat, an Indian social media platform comprising 60 million MAU's of its short form video service has deployed the Visionular AuroraCloud transcoding solution. Powered by Visionular Intelligent Optimization technology, AuroraCloud enables ShareChat to provide enhanced video experiences with better visual quality, less bandwidth consumption, faster start times, and smoother playback with less buffering, under constrained network conditions.
AOM Member Spotlight - Interview with Zoe Liu
As an early Alliance for Open Media member, our Co-Founder and President Zoe Liu shared the behind the scenes story of how Visionular transitioned from being a heavy contributor to the open-source AOM AV1 codec codebase libaom, to becoming a commercial AV1 software encoder technology provider. Read profile.
Aurora1 named best video encoder by Moscow State University
Our Aurora1 AV1 Encoder was found to be the #1 video encoder for 4K performance and bitrate efficiency as measured with SSIM, PSNR, and VMAF, by Moscow State University. Read report here.
Visionular presents adaptive video technology at the SF Video Tech Meetup
This talk focused on the optimization of AV1, as well as several state-of-the-art schemes for leveraging the use of machine learning to further improve AV1 coding efficiency. More details.
AuroraCloud Intelligent Transcoder launches in the AWS Marketplace
Visionular's award winning AV1 encoder Aurora1 is optimized for video on demand applications with superb compression performance, fast encoding time, and unbeatable cost efficiency. It supports processing and conversion of a broad range of video sources, including those of advanced color sampling (10-bit 4:2:2), and all HD / UHD (e.g. 4K / 8K) resolutions. Start on AWS here.
Moscow State University selects Aurora1 for 2020 video codec report
The Aurora1 AV1 video encoder was the only commercial AV1 encoder selected for this years MSU annual evaluation and earned first place in the category of subjective evaluation performance. Read report here.
Visionular presents ML based AV1 optimization for VOD & RTC at AOM
Visionular presented the most recent results of the Aurora1 AV1 encoder performance including a technology overview of the proprietary AI and video codec technology that powers it. Download presentation here. Watch the video here.
Visionular AV1 presentation at AllThingsRTC 2019 with Agora.io
AllThingsRTC is a tech conference hosted by Agora.io in Beijing for developers of real-time communications technologies, products, and solutions. In this critical AV1 milestone presentation, we updated the results of Aurora1 for the use case of RTC. View talk by Zoe Liu.
Speaker at the Alibaba APSARA 2019 conference on 5G video
Our President Zoe Liu contributed to a panel discussing 5G+Video that was hosted by Yan Ye (Head of Video/Machine Learning, Alibaba's DAMO Academy). And joined by Prof Lu Yu (Zhejiang University, also MPEG Video Group Chair), Xinfeng Zhang (Senior Engineer from Intel), and Dapeng Liu (Senior Expert from Alibaba Group).
IBC Aurora1 + ML for RTC & cloud-based applications
Visionular presented our updated results on Aurora1 (an optimized AV1 encoder), AI+Codec technologies, and cloud-based solutions for video transcoding, for both VOD and RTC use cases at the invitation of Google.
Visionular Co-Founder Zheng Zhu shared his experience gained from more than 15 years in R&D design and development in the area of video technology and codec design and optimization including the development of QY265/KSC265 as a key-contributor. Read what Mux wrote about Aurora1, AV1, and Visionular along with highlights from the 2019 Shanghai LiveVideoStackCon event.
AllThingsRTC - San Francisco
We presented our AI and codec technologies that are perfectly suited for the application of real-time communications. Event link.
Big Apple Video 2019 Presentation
Zoe Liu presented updated results of Aurora1 for the use case of VOD as opposed to x264/x265, as well as other state-of-the-art AV1 open source encoders, and Aurora1 potential for real-time communications. Watch the presentation.
Zoe Liu presented the results of our Aurora1 video encoder along with future directions for ML and the application of real-time communication video services. Learn more.
NAB: Aurora1 AV1 Debut
We launched the first commercial AV1 encoder at NAB 2019. Learn more about Aurora1.
Google & Qiniu enterprise cloud project completed
We completed our first collaborative project with Google sealing a deal with Qiniu a leading enterprise cloud service vendor in Shanghai.
Visionular raises $3.4 million seed round
Supported by three highly technical VC firms (Tsingyuan / Tsinghua Technology / CoWin), and several well-known entrepreneurs and angel investors, including the CEO/Founders of Agora.io and Zoom, we closed a $3.4 million seed round. Crunchbase.
Visionular is founded
Visionular solves the challenge video distributors and video app developers face needing to deliver the smoothest possible video at high quality. We are proud of our engineering-driven culture and work each day to deliver world-leading video solutions and services in the field of video encoding, transcoding, processing, analysis and enhancement, powered by AI and adaptive solutions.