Company Filing History:
Years Active: 2017-2018
Title: Artem Zinevich: Innovator in Computer Vision Technologies
Introduction
Artem Zinevich is a notable inventor based in San Jose, CA, who has made significant contributions to the field of computer vision. With a focus on developing innovative techniques for image processing, Zinevich holds 2 patents that showcase his expertise and creativity in this rapidly evolving domain.
Latest Patents
Zinevich's latest patents include groundbreaking work on local change detection in video. This patent discusses techniques related to detecting local changes in video sequences. It involves determining inlier and outlier keypoints for a current frame based on previous frames, detecting regions of local change, and providing indicators of these changes. Another significant patent focuses on context and performance adaptive processing in ultra low-power computer vision systems. This innovation aims to adaptively control image sensors and image signal processors to minimize power consumption while ensuring that images can be accurately analyzed by computer vision applications. These techniques can be implemented in various electronic devices, including smartphones, wearable computers, laptops, and tablets.
Career Highlights
Artem Zinevich is currently employed at Intel Corporation, where he continues to push the boundaries of technology in the field of computer vision. His work at Intel has allowed him to collaborate with other talented professionals and contribute to cutting-edge projects that have the potential to transform the industry.
Collaborations
Zinevich has worked alongside notable colleagues such as Dmitri Bitouk and Jorge E Caviedes. Their collaborative efforts have further enhanced the innovative environment at Intel Corporation, leading to the development of advanced technologies in computer vision.
Conclusion
Artem Zinevich is a prominent figure in the realm of computer vision, with a strong portfolio of patents that reflect his innovative spirit. His contributions to the field are paving the way for future advancements in image processing technologies.