Company Filing History:
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Years Active: 2022-2025
Title: Sanghyun Woo: Innovator in Machine Learning and Video Analysis
Introduction
Sanghyun Woo is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the fields of machine learning and video analysis, holding a total of 4 patents. His innovative work focuses on enhancing video object segmentation and key frame analysis through advanced artificial intelligence techniques.
Latest Patents
Sanghyun Woo's latest patents include groundbreaking technologies such as "Per-clip video object segmentation using machine learning." This invention involves systems and methods for performing object segmentation in video sequences by utilizing machine learning. The process includes receiving a query video sequence and memory data, segmenting the video into clips, and predicting object masks for improved accuracy.
Another notable patent is the "Electronic device for key frame analysis and control method thereof." This invention describes an electronic device that employs artificial neural networks to analyze video images, acquire key frames, and generate texts based on feature data. This technology enhances the understanding and processing of video content.
Career Highlights
Sanghyun Woo has worked with leading companies in the technology sector, including Adobe Inc. and Samsung Electronics Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in video processing and artificial intelligence.
Collaborations
Throughout his career, Sanghyun Woo has collaborated with talented individuals such as Dahun Kim and Joon-Young Lee. These partnerships have fostered a creative environment that has led to the development of cutting-edge technologies in his field.
Conclusion
Sanghyun Woo's contributions to machine learning and video analysis demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its applications, positioning him as a key figure in the advancement of video processing techniques.