Tamar Shoham
Introduction Machine learning for Video is an expanding field, garnering vast interest, with generative AI for video picking up speed. However there are significant pain points for these technologies such as storage and bandwidth bottlenecks when dealing with video content, as well as training and inferencing speeds. In the following case study, we show that […]
Dani Megreleshvili
High Quality, High Scale, Low Cost video processing – Beamr Cloud is bringing technology that used to be exclusive to tech giants like Google and Meta – to everyone. Here’s all you need to know about Beamr Cloud Video rules the world Video is the most dominant digital content type today. From high-res smartphones to […]
Tamar Shoham
Easy & Safe Codec Modernization with Beamr using Nvidia GPUs Following a decade where AVC/H.264 was the clear ruler of the video encoding world, the last years have seen many video coding options battling to conquer the video arena. For some insights on the race between modern coding standards you can check out our corresponding […]
Tamar Shoham
The proliferation of AI-generated visual content is creating a new market for media optimization services, with companies like Beamr well positioned to help businesses optimize their video content for reduced storage, faster delivery, and better user experiences. We are living in a brave new world, where any image and video content we can imagine is […]
Tamar Shoham
2023 is a very exciting year for Beamr. In February Beamr became a public company on NASDAQ:BMR on the premise of making our video optimization technology globally available as a SaaS. This month we are already announcing a second milestone for 2023: Release of the Nvidia driver that enables running our technology on the Nvidia […]
Dror Gill
We are thrilled to share with you that Beamr has won the Seagate Lyve Innovator of the Year competition!
Dror Gill
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.
Dror Gill
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.
Dror Gill
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.
Tamar Shoham
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 […]
