Seoul, South Korea

Seoungwug Oh


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 25(Granted Patents)


Company Filing History:


Years Active: 2020-2021

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4 patents (USPTO):Explore Patents

Title: Innovations of Seoungwug Oh

Introduction

Seoungwug Oh is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of video content analysis and object segmentation. With a total of 4 patents to his name, his work has garnered attention in the tech industry.

Latest Patents

One of his latest patents is titled "Space-time memory network for locating target object in video content." This invention involves using a space-time memory network to locate one or more target objects in video content for segmentation or other object classification. In this process, a video editor generates a query key map and a query value map by applying a space-time memory network to features of a query frame from video content. The video editor retrieves a memory key map and a memory value map that are computed, with the space-time memory network, from a set of memory frames from the video content. The video editor computes memory weights by applying a similarity function to the memory key map and the query key map. Ultimately, the video editor classifies content in the query frame as depicting the target feature using a weighted summation that includes the memory weights applied to memory locations in the memory value map.

Another notable patent is "Video object segmentation by reference-guided mask propagation." This invention describes video object segmentation using a neural network and the training of the neural network. The neural network detects a target object in the current frame based on a reference frame and a reference mask that define the target object. It also propagates the segmentation mask of the target object for a previous frame to the current frame to generate a segmentation mask for the current frame. In some embodiments, the neural network is pre-trained using synthetically generated static training images and is then fine-tuned using training videos.

Career Highlights

Seoungwug Oh is currently employed at Adobe Inc., where he continues to innovate in the field of video technology. His work has been instrumental in advancing the capabilities of video editing and object recognition.

Collaborations

He has collaborated with notable coworkers such as Joon-Young Lee and Kalyan Krishna Sunkavalli, contributing to various projects that enhance video processing technologies.

Conclusion

Seoungwug Oh's contributions to the field of video content analysis and segmentation are noteworthy. His innovative patents reflect his expertise and commitment to advancing technology in

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