High Efﬁciency Distributed Video Encoding System: Allows more videos to be stored with ultra-high resolution (e.g. 4K) through greatly reduced storage & bandwidth requirement.
Video Enhancement Engine: AI-facilitated content adaptive video enhancement, restoration and super-resolution, much higher visual quality presented.
We are a team of skilled and motivated tech veterans, joining from Google, Kingsoft Cloud, Microsoft, Apple, ArcSoft, and Baidu. We are in pursuits of the smoothest delivery of videos at its possible highest quality. We are proud of our engineering-driven culture and all feel excited 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.
Our team consists of alumni of Purdue, Rice, UIUC, USC, NEU, Tsinghua, Zhejiang University, Peking University, USTC, Nankai University, UESTC; ex-employees of Google, Apple, Bell Labs, Baidu, Kingsoft Cloud, ArcSoft.
Our expertise lies in video compression, deep learning, image processing, computer vision, cloud video infrastructure, GPU, FPGA.
#1 for all three metrics SSIM/PSNR/VMAF report
We are truly proud that our Aurora encoder, as the only AV1 encoder that enters this year's MSU annual evaluation, earns the clear first place in the category of subjective evaluation. MSU reports serve as benchmarks of video codec performance both in academia and in industry. (report)
Our CTO Jinaa Liu shared the most recent results on our AV1 encoder Aurora and the AI+Codec technologies behind it at the first AOMedia Research Symposium held in Google headquarter. (link)
RTC tech conference, host by Agora.io. We demonstrated updated results of Aurora, our av1 encoder, in support of the use case of RTC. We further shared our thoughts and ideas in leveraging the use of machine learning in codec optimization.
Our Video Tech Lead Yu-Shan Chuang presented our technologies and products in the 27th ICTC(International Conference on Technology Convergence), thanks to Jeff Chen(SVP of CableLabs), and also the sponsorship from Wasu.
Visionular's President Zoe Liu joined the panel to discuss about 5G+Video, 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).
Visionular presented its updated results on Aurora (an optimized AV1 encoder), AI+Codec technologies, and cloud-based solutions for video transcoding, for both VoD and RTC use cases. IBC, short for International Broadcasting Convention, is the largest media and technologies convention worldwide, which has gathered 55,000+ attendees this year. (link)
Visionular's CEO Zheng Zhu joined the panel to discuss about Trend in Video Coding, together with Yaowu Xu (Sr Staff Engineer and TLM of Google), Oliver Gunasekara (CEO of NGCodec), Stefan Lederer(CEO of Bitmovin), and Yaguang Xie (R&D Director of ArcVideo, Hangzhou). (link)
Visionular presented its progress in deploying its Aurora AV1 encoder in both VoD and RTC usecases at bigapple.video, a technical conference focused on innovation and best practices of video codec technologies, held in New York City. (link)
On June 13th 2019, Visionular presented their AI+codec technologies at AllThingsRTC, the premier real-time communication event host by Agora.io. (link)
Presented our AV1 encoder Aurora at 2019 LiveVideoStackCon in Shanghai, and attended a round-table discussion sharing insights to the future of video codecs. (link)
Visionular's Aurora made its first appearance at NAB as the world's first production ready AV1 encoder, highlighted at Google booth (demo link).
Completed first collaborative project with Google; Sealed first deal with Qiniu, a leading enterprise cloud service supplier located in Shanghai.
Supported by 3 highly techincal VCs (Tsingyuan / Tsinghua Technology / CoWin), and several well-acknowledged entrepreneur angel investors including CEO/Founders of Agora.io and Zoom.
Teams built in both Mountain View, California and Hangzhou, China.
1451 Grant RD, #200
Mountain View, CA, 94040