This inventor holds 1 USPTO granted patent. Top assignee: National Cheng-Kung University. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Yen-Chu Peng: Innovator in Deepfake Detection Technology
Introduction
Yen-Chu Peng is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of video recognition technology, particularly in the detection of deepfake videos. His innovative approach addresses the growing concerns surrounding the authenticity of digital media.
Latest Patents
Yen-Chu Peng holds a patent for a "Deepfake video detection system and method." This system includes an input data detection module for setting a target video, a data pre-processing unit for detecting eye features from the face in the target video, and a feature extraction module that inputs these eye features into a long-term recurrent convolutional neural network (LRCN). The system utilizes a sequence of long-term and short-term memory (LSTM) to perform sequence learning. It predicts the output of each neuron and quantizes the eye state, ultimately comparing the quantified eye state information of the target video with original stored data from normal videos to output recognition results.
Career Highlights
Yen-Chu Peng is affiliated with National Cheng-Kung University, where he continues to advance his research and development in video recognition technologies. His work is crucial in combating the challenges posed by deepfake technology.
Collaborations
Yen-Chu has collaborated with notable colleagues, including Chuan-Kang Liu and Jung-Shian Li, who contribute to his research endeavors.
Conclusion
Yen-Chu Peng's innovative work in deepfake video detection exemplifies the importance of technological advancements in ensuring the integrity of digital media. His contributions are vital in the ongoing battle against misinformation and digital manipulation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile