Tamar Shoham
Now available: Hardware accelerated, unsupervised, codec modernization to AV1 for increased efficiency video AI workflows AV1, the new kid on the block of video encoders, is definitely starting to gain traction due to its high compression efficiency and increasing adoption on browsers and end devices. As we mentioned in our previous blog, H/W accelerated AV1 […]
Tamar Shoham
Beamr’s Content Adaptive Bit Rate solution enables significantly decreasing video file size or bitrates without changing the video resolution or compromising perceptual quality. Since the optimized file is fully standard compliant, it can be used in your workflow seamlessly, whatever your use case, be it video streaming, playback or even part of an AI workflow. Beamr […]
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
