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The Challenge of Machine Learning for Video
The burgeoning field of Machine Learning and Artificial Intelligence for video has encountered a significant obstacle – managing extremely large files and libraries. Video files are inherently hefty, posing challenges in storing, managing, and transferring them for training computer networks to recognize moving objects.
Consider the difficulty computers encounter in recognizing objects, where each movement alters the object’s appearance. This requires extensive scanning and analysis of numerous videos for effective learning.
Consequently, companies and start-ups operating in this domain face substantial expenses that impede their growth.
Beamr’s Game-Changing Technology
Tamar Shoham, Beamr CTO, presented a solution to this challenge, stating, “Overcoming one of the most difficult and expensive challenges of Machine Learning rests on Beamr technology’s proven and tested ability to scan each and every frame of a video file and conclude how much it can be compressed without losing its quality.”
Shoham led an experiment demonstrating how Machine Learning workflows benefit from Beamr’s compression technology, resulting in files downsized by an average of 40%, streamlining processes and enabling significant cost savings in storage.
The experiment confirmed that optimized and smaller files produced essentially the same results in people detection. Further research and evaluation of possible contributions to Machine Learning workflows are underway by Beamr’s R&D teams.
Integration with NVIDIA Technology
The tests were conducted on NVIDIA DeepStream SDK, a tool for AI-based multi-sensor processing, video, audio, and image understanding. Shoham emphasized how the video optimization process did not affect the detection results obtained with the DeepStream SDK, highlighting its compatibility with Beamr’s technology.
Notably, Beamr’s technology, winner of the Emmy award for Technology and Engineering in 2021 and backed by 53 patents, aims to offer the best tradeoffs between quality and compression of video files, catering to a wide range of use-cases, including streaming and professional analysis.
About Beamr
Beamr is a world leader in content-adaptive video solutions, backed by 53 granted patents, and winner of the 2021 Technology and Engineering Emmy® award and the 2021 Seagate Lyve Innovator of the Year award. Beamr’s perceptual optimization technology enables up to a 50% reduction in bitrate with guaranteed quality.
For more details, visit www.beamr.com
This post was authored by an external contributor and does not represent Benzinga’s opinions and has not been edited for content. This contains sponsored content and is for informational purposes only and not intended to be investing advice.
