This inventor holds 1 USPTO granted patent. Top assignee: Electronics and Telecommunications Research Institute. Active years: 2013.
Company Filing History:
Years Active: 2013
Title: Innovations by Seunglae Lee in Scene Change Detection
Introduction
Seunglae Lee is a notable inventor based in Daejeon, South Korea. He has made significant contributions to the field of video processing, particularly in the area of scene change detection. His innovative work has led to the development of a patented system that enhances the efficiency of video data analysis.
Latest Patents
Seunglae Lee holds a patent for a "System and method for detecting scene change." This invention relates to a system designed for scene change detection, which includes a decoder that decodes input digital video data into either video data compressed by a single codec or uncompressed video data in a codec-independent format. The system also features a normalizer that normalizes the decoded video data in a temporally and spatially uniform format. Additionally, a scene change detector computes a mode ratio for each frame of the normalized video data through mode determination. When a frame exhibits a mode ratio higher than a preset threshold value, the system determines that a scene change has occurred at that frame. The decoder is capable of decoding video data compressed by various video codecs into uncompressed video frames. Seunglae Lee has 1 patent to his name.
Career Highlights
Seunglae Lee is affiliated with the Electronics and Telecommunications Research Institute, where he continues to work on advancing technologies in telecommunications and electronics. His role at the institute allows him to collaborate with other experts in the field and contribute to innovative projects.
Collaborations
Some of his notable coworkers include Seunghwan Kim and Young-Suk Yoon. Their collaborative efforts in research and development have further enhanced the impact of their work in the industry.
Conclusion
Seunglae Lee's contributions to scene change detection represent a significant advancement in video processing technology. His innovative patent showcases his expertise and commitment to improving the efficiency of video data analysis.