We are thrilled to share with you that Beamr has won the Seagate Lyve Innovator of the Year competition!
Receiving our 50th granted patent seemed like a good opportunity to reflect back on our IP journey, and share some lessons we learned along the way.
In this post we present the results of integrating CABR’s content-adaptive rate control with the libaom AV1 encoder. CABR can reduce AV1 bitrates by a further 25-40% without compromising perceptual quality.
In this blog post we present the results of a encoding a set of videos from YouTube’s UGC dataset with Beamr’s CABR technology.
Introduction There are several different video codecs available today for video streaming applications, and more will be released this year. This creates some confusion for video services who need to select their codec of choice for delivering content to their users at the best quality and lowest bitrate, also taking into account the encode compute […]
TL;DR Post COVID-19, the work from home trend will continue, and this will extend the pressure on the Internet from video traffic. Even with the EU Commissioner’s call for video services to reduce their traffic by 25%, as Internet traffic patterns shift from corporate networks to mobile, fixed wireless, and broadband networks, the need to […]
TL;DR: Beamr CABR operating with the Intel Media SDK hardware encoder powered by Intel GPUs is the perfect video encoding engine for cloud gaming services like Google Stadia. The Intel GPU hardware encoder reaches real-time performance with a power envelope that is 90% less than a CPU based software solution. When combined with Beamr CABR […]
It has been two years since we published a comparison of the two leading HEVC software encoder SDKs; Beamr 5, and x265. In this article you will learn how Beamr’s AVC and HEVC software codec SDKs have widened the computing performance gap further over x264 and x265 for live broadcast quality streaming. Why Performance Matters […]
At the heart of Beamr’s closed-loop content-adaptive encoding solution (CABR) is a patented quality measure. This measure compares the perceptual quality of each candidate encoded frame to the initial encoded frame. The quality measure guarantees that when the bitrate is reduced the perceptual quality of the target encode is preserved. In contrast to general video […]
Going Inside Beamr’s Frame-Level Content-Adaptive Rate Control for Video Coding When it comes to video, the tradeoff between quality and bitrate is an ongoing dance. Content producers want to maximize quality for viewers, while storage and delivery costs drive the need to reduce bitrate as much as possible. Content-adaptive encoding addresses this challenge, by striving […]