This inventor holds 6 USPTO granted patents and 5 published patent applications. Top assignees: Disney Enterprises, Inc., Beijing Yojaja Software Technology Development Co., Ltd., Eth Zürich (Eidgenössische Technische Hochschule Zürich). Active years: 2026.
Company Filing History:
6 out of 2,871 
3 out of 6 
2 out of 13 Years Active: 2026
Title: Innovations by Yuanyi Xue in Video Compression Technology
Introduction
Yuanyi Xue is an accomplished inventor based in Alameda, CA, known for his contributions to the field of video compression technology. With a total of 6 patents, he has developed innovative solutions that leverage machine learning to enhance video encoding processes.
Latest Patents
One of Yuanyi Xue's latest patents is titled "Machine learning model-based video compression." This invention involves a system processing hardware that executes a machine learning (ML) model-based video compression encoder. The encoder receives uncompressed video content and corresponding motion compensated video content. It compares the two to identify an image space residual, transforms this residual into a latent space representation, and encodes it to produce compressed video content.
Another significant patent is "Content adaptive micro encoding optimization for video." This method analyzes flagged locations in a video encoding to form clusters. It determines draft micro-chunk boundaries and searches for start and end locations to form micro-chunks. The encoding parameters for these micro-chunks are based on their content characteristics, optimizing the encoding process for better video quality.
Career Highlights
Throughout his career, Yuanyi Xue has worked with notable organizations, including Disney Enterprises, Inc. and ETH Zurich (Eidgenössische Technische Hochschule Zürich). His experience in these prestigious institutions has contributed to his expertise in video technology and machine learning applications.
Collaborations
Due to space constraints, the collaborations section has been omitted.
Conclusion
Yuanyi Xue's innovative work in video compression technology showcases his ability to integrate machine learning with practical applications. His patents reflect a commitment to advancing the field and improving video encoding efficiency.