This inventor holds 5 USPTO granted patents and 6 published patent applications. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2020-2025.
Location History:
- Seoul, KR (2020 - 2021)
- Suwon-si, KR (2021 - 2023)
Company Filing History:
Years Active: 2020-2025
Title: Innovations of Jungyeop Yang
Introduction
Jungyeop Yang is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of video and image encoding, holding a total of 5 patents. His work is particularly recognized for its innovative approaches to motion estimation and machine learning applications in encoding technologies.
Latest Patents
One of his latest patents is a video encoder and operating method that estimates a motion vector of a current block in a current frame. This method involves identifying a reference block in a reference frame and setting a search range to find candidate blocks that meet specific motion estimation criteria. The process culminates in encoding the current block based on the estimated motion vector. Another notable patent is an image encoder that utilizes machine learning to enhance prediction blocks. This encoder outputs a bitstream by encoding an input image, employing a predictive block, a machine learning-based prediction enhancement block, and a subtractor to generate a residual block.
Career Highlights
Jungyeop Yang is currently employed at Samsung Electronics Co., Ltd., where he continues to innovate in the field of video and image processing technologies. His work has been instrumental in advancing the capabilities of encoding systems, making them more efficient and effective.
Collaborations
Throughout his career, Jungyeop has collaborated with notable colleagues, including Young-Beom Jung and Hyuk Jae Jang. These collaborations have further enriched his contributions to the field.
Conclusion
Jungyeop Yang's innovative work in video and image encoding has established him as a key figure in the industry. His patents reflect a commitment to advancing technology and improving encoding methods, showcasing his expertise and dedication to innovation.
