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Moving Past JPEG: Exploring the AV1 Image Format AVIF
Read how AV1’s screen content coding tools and exceptional compression efficiency make it perfectly suited for RTC applications.
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AV1 for RTC – Comparing x264 with Aurora1
Read how AV1’s screen content coding tools and exceptional compression efficiency make it perfectly suited for RTC applications.
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Dan Rayburn Innovation Blog Post
It’s time to modernize from H.264 – 870 million users in Asia receive AV1 and HEVC encoded content every month.
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Big Q4 for AV1
In Q4, Visionular took part in many activities that served to grow the ecosystem and provide momentum for the standard.
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AV1 Encoder Optimization from the Decoder’s Point of View
The case for optimizing AV1 encoder implementations to reduce decoder complexity is presented.
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Bi-Prediction Based Video Quality Enhancement via Learning
PMVE is a multi-frame approach for compressed video enhancement trading off performance & complexity.
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Learning-Based Multi-Frame Video Quality Enhancement
LMVE uses spatial-temporal correlations for better enhancement on compressed video.
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Analysis of AV1 Coding Tools (part 1 of 2)
This article provides real-world testing and analysis of AV1 coding tools.
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libaom Coding Tools Study (part 2 of 2)
Using libaom AV1 coding tools we examine which are most effective.
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Visionular Intelligent Optimization Technology
This paper provides an introduction with technical details about Visionular’s Content-Adaptive Encoding (CAE) Intelligent Optimization technology.
At Tsingyuan Ventures, we believe in startup companies that ride the transformative power of major technology shifts such as deep learning in computer vision. Visionular’s founders are world-class technologists in their field of video codec and AI-driven optimization. We feel privileged to support their adventure with our resources and experience.