Dan Julius
This year at the NAB Show 2024 in Las Vegas, we are excited to demonstrate our Content-Adaptive Bitrate (CABR) technology on the NVIDIA Holoscan for Media platform. By implementing CABR as a GStreamer plugin, we have, for the first time, made bitrate optimization of live video streams easily achievable in the cloud or premise. Building […]
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 […]
Tamar Shoham
By reducing video size but not perceptual quality, Beamr’s Content Adaptive Bit Rate optimized encoding can make video used for vision AI easier to handle thus reducing workflow complexity
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.
Dror Gill
Last week, the Internet erupted in furor over Verizon’s alleged “throttling” of video streaming services over their mobile network. With a quick glance at the headlines, and to the uninitiated, this could be perceived as an example of a wireless company taking their market dominance too far. Most commenters were quick to pontificate calling “interference” […]
