Company Filing History:
Years Active: 2022-2024
Title: Young Jin Yun: Innovator in Content Tagging and Video Matching Technologies
Introduction
Young Jin Yun is a prominent inventor based in San Francisco, CA. He has made significant contributions to the fields of content tagging and video matching technologies. With a total of 2 patents, his work focuses on enhancing the efficiency of content management systems.
Latest Patents
Young Jin Yun's latest patents include innovative techniques for efficient tagging of content items using multi-granular embeddings. This patent outlines a method where multiple content items are stored along with their respective content embeddings. The process involves identifying multiple content embeddings associated with each content item, selecting a subset of entity names, and generating similarity measures based on these embeddings. This approach allows for a more accurate association of entity names with content items.
Another notable patent is focused on grouping video items to efficiently match against another set of video items using embedding similarity. In this technique, embeddings are generated for each video item, and groups are formed based on the available metadata. By determining embedding similarity between video items in different sets, the method facilitates effective associations, enhancing the overall user experience in video content management.
Career Highlights
Young Jin Yun is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in technology. His work has been instrumental in advancing the capabilities of content tagging and video matching systems.
Collaborations
Some of his notable coworkers include Sneha S Chaudhari and Mahesh Subhash Joshi, who contribute to the collaborative environment at Microsoft Technology Licensing, LLC.
Conclusion
Young Jin Yun's contributions to the fields of content tagging and video matching technologies demonstrate his innovative spirit and commitment to enhancing digital content management. His patents reflect a deep understanding of machine learning and embedding techniques, positioning him as a key figure in the tech industry.