Image credit: Envato elements

The Growing Role of Machine Learning in Video Innovation

Amidst the booming landscape of Machine Learning and Artificial Intelligence in the video industry, Beamr BMR strides forward with a revelation that could revolutionize the field. The expanse of the computer vision market, already valued at over $20 billion and projected to surge in the foreseeable future, underlines the immense potential of Machine Learning for video.

The Challenge of Managing Large Video Files

However, the proliferation of large video files presents a formidable hurdle. The intricate task of training computer networks to identify moving objects demands an extensive array of video files, posing significant challenges in terms of storage and management.

Beamr’s Technological Breakthrough

Tamar Shoham, Beamr CTO, elucidated how Beamr’s technology can alleviate this burden, emphasizing its prowess in scanning and compressing video frames without compromising quality. In a groundbreaking experiment, the technology substantiated an average reduction of 40% in file size while preserving the integrity of the original content, a feat that has the potential to streamline Machine Learning processes and yield substantial cost savings.

Validating the Solution with Industry Partners

The effectiveness of Beamr’s technology was tested using NVIDIA DeepStream SDK, a tool for AI-based multi-sensor processing, with no discernible impact on the detection results. Earning recognition with a 2021 Technology and Engineering Emmy® award and fortified by 53 patents, Beamr strives to optimize video files without compromising quality across a broad spectrum of applications, spanning from Netflix to professional use-cases.

Image credit: Envato elements

Beamr BMR is a frontrunner in content-adaptive video solutions, boasting 53 granted patents and accolades such as the 2021 Technology and Engineering Emmy® award and the 2021 Seagate Lyve Innovator of the Year award. Their perceptual optimization technology promises up to a 50% reduction in bitrate without sacrificing quality. To learn more, visit www.beamr.com

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