Seoung Wug Oh

Title: Innovations of Seoung Wug Oh

Introduction

Seoung Wug Oh is a prominent inventor based in San Jose, California. He has made significant contributions to the field of machine learning and video processing. With a total of three patents to his name, his work continues to influence advancements in technology.

Latest Patents

Seoung Wug Oh's latest patents include innovative methods for video object segmentation and chroma keying processes. One of his notable patents is titled "Per-clip video object segmentation using machine learning." This invention involves performing per-clip object segmentation of objects in a video sequence using machine learning techniques. The system receives a query video sequence and memory data, which includes an object mask for an object in a memory video frame. The method segments the query video sequence into multiple clips and utilizes a trained encoder-decoder network to predict modified sets of query video frames, enhancing the accuracy of object masks.

Another significant patent is the "Machine learning-based chroma keying process." This method involves receiving an image depicting a chroma key scene along with a corresponding background color value. The process generates a preprocessed image by combining the input image and the color value, which is then provided to a trained neural network. The neural network generates an alpha matte representation of the image, improving the quality of chroma keying in video production.

Career Highlights

Seoung Wug Oh is currently employed at Adobe, Inc., where he applies his expertise in machine learning and video processing. His work at Adobe has allowed him to collaborate with other talented professionals in the field, further enhancing the company's innovative capabilities.

Collaborations

Some of Seoung Wug Oh's coworkers include Joon-Young Lee and Jaedong Hwang. Their collaborative efforts contribute to the development of cutting-edge technologies in video processing and machine learning.

Conclusion

Seoung Wug Oh's contributions to the field of machine learning and video processing are noteworthy. His innovative patents reflect his commitment to advancing technology and improving video production techniques. His work continues to inspire future developments in the industry.