Seoul, South Korea

Chung-in Joung

This inventor holds 1 USPTO granted patent. Top assignee: Korea University Research and Business Foundation. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chung-in Joung. Retrieved from https://idiyas.com/inventor/chung-in-joung

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Chung-in Joung

Introduction

Chung-in Joung is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of video processing through his innovative patent. His work focuses on utilizing deep learning techniques to enhance video frame prediction.

Latest Patents

Chung-in Joung holds a patent for an "Apparatus and method for prediction of video frame based on deep learning." This invention provides an apparatus that includes a level encoder designed to extract and learn features from a video frame. Additionally, it features a learning unit that processes these features to predict future video frames, thereby improving the efficiency of video processing.

Career Highlights

Chung-in Joung is affiliated with the Korea University Research and Business Foundation, where he applies his expertise in deep learning and video technology. His innovative approach has positioned him as a key figure in advancing video prediction methodologies.

Collaborations

Chung-in Joung has collaborated with notable colleagues, including Kun Fan and Seungjun Baek. Their combined efforts contribute to the ongoing research and development in the field of video technology.

Conclusion

Chung-in Joung's work exemplifies the intersection of deep learning and video processing, showcasing his innovative spirit and dedication to advancing technology. His contributions are paving the way for future advancements in video frame prediction.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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