Yongin-si, South Korea

Yong-hoon Yu


Average Co-Inventor Count = 4.1

ph-index = 1


Location History:

  • Seongnam-si, KR (2013)
  • Seoul, KR (2017)
  • Yongin-si, KR (2019 - 2020)

Company Filing History:


Years Active: 2013-2020

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4 patents (USPTO):Explore Patents

Title: Yong-hoon Yu: Innovator in Video Processing Technology

Introduction

Yong-hoon Yu is a prominent inventor based in Yongin-si, South Korea. He has made significant contributions to the field of video processing technology. With a total of 4 patents to his name, his work focuses on methods and apparatuses that enhance video quality and motion vector estimation.

Latest Patents

Yong-hoon Yu's latest patents include a method and apparatus for determining motion vectors in video processing. This innovative method involves generating a first down-sampled block from a first frame and creating multiple second down-sampled blocks from a second frame. By comparing these blocks, the method selects one to determine a motion vector that accurately represents the relationship between the two blocks. Another notable patent is a motion vector estimation method that sets a local search area in another frame to determine the motion vector of a current block. This method utilizes the sum of absolute difference (SAD) values to refine the motion vector estimation process.

Career Highlights

Yong-hoon Yu is currently employed at Samsung Electronics Co., Ltd., a leading company in technology and innovation. His work at Samsung has allowed him to push the boundaries of video processing technology and contribute to advancements in the field.

Collaborations

Yong-hoon has collaborated with notable coworkers such as Tae-gyoung Ahn and Hyung-jun Lim. Their combined expertise has fostered an environment of innovation and creativity within their projects.

Conclusion

Yong-hoon Yu's contributions to video processing technology through his patents and work at Samsung Electronics Co., Ltd. highlight his role as a key innovator in the industry. His advancements in motion vector estimation methods continue to influence the field and improve video quality for users worldwide.

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