Yeping Su

Title: Yeping Su: Innovator in Motion Estimation Technologies

Introduction

Yeping Su is a notable inventor based in Seattle, WA (US), recognized for his contributions to motion estimation technologies. With a total of 2 patents, he has made significant advancements in the field, particularly in methods that enhance the efficiency of motion estimation processes.

Latest Patents

Yeping Su's latest patents include a "Method for Fast Multiple Reference Frame Motion Estimation." This innovative method is designed to perform motion estimation between a current frame and multiple reference frames. It utilizes a specialized block matching technique to identify several motion vectors for blocks of each frame relative to a previous frame. The method then composes these motion vectors to derive an adjusted motion vector that minimizes the cost function, thereby improving the accuracy of motion estimation.

Another significant patent is the "System and Method for Non-Iterative Global Motion Estimation." This patent introduces a fast, non-iterative algorithm for estimating global motion parameters from motion vectors obtained through block matching. The process involves grouping motion vectors from the input video stream, calculating global motion parameters from these groups, and processing the results to achieve a final estimation.

Career Highlights

Throughout his career, Yeping Su has worked with prominent organizations such as the Industrial Technology Research Institute and Sunplus Technology Co., Ltd. His experience in these companies has contributed to his expertise in motion estimation technologies and has facilitated his innovative work.

Collaborations

Yeping Su has collaborated with notable professionals in his field, including Shin-Huang Chang and Ming-Tin Sun. These collaborations have likely enriched his research and development efforts, leading to the successful patents he holds today.

Conclusion

Yeping Su's contributions to motion estimation technologies through his patents reflect his innovative spirit and dedication to advancing the field. His work continues to influence the development of efficient motion estimation methods, showcasing the importance of innovation in technology.