Company Filing History:
Years Active: 2015-2024
Title: Innovations of Nico Becherer
Introduction
Nico Becherer is a prominent inventor based in Hamburg, Germany. He has made significant contributions to the field of technology, particularly in machine learning and video processing. With a total of 14 patents to his name, Becherer has established himself as a leading figure in innovation.
Latest Patents
One of his latest patents is titled "Platform for unsupervised machine learning training on unseeable user generated assets." This invention describes systems and methods for a privacy-sensitive computing system. It provides a protected computing environment, a code authorization unit, and a data aggregation unit. The system allows for the training of unsupervised or self-supervised machine learning models on user-generated assets while ensuring that these assets are not directly viewed by human eyes.
Another notable patent is "Intelligent video reframing." This invention focuses on reframing videos from one aspect ratio to another while maintaining visibility of regions of interest. It involves determining a set of regions of interest in frames of a video with a first aspect ratio and estimating an initial camera path. An optimal camera path is then determined, allowing for the generation of a cropped video with a different aspect ratio.
Career Highlights
Nico Becherer has worked with renowned companies such as Adobe, Inc. and Adobe Systems Inc. His experience in these organizations has contributed to his expertise in developing innovative solutions in technology.
Collaborations
Throughout his career, Becherer has collaborated with talented individuals, including Sven Duwenhorst and William L. Marino. These collaborations have further enhanced his work and contributions to the field.
Conclusion
Nico Becherer is a distinguished inventor whose work in machine learning and video processing has led to significant advancements in technology. His innovative patents and collaborations reflect his commitment to pushing the boundaries of what is possible in the tech industry.