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 Research Fields

Year

 Fields

1986 - 1992

 Real-Time Computing, Image Processing Systems

1993 - 1996

 Motion Estimation, Image Compression

1996 - 1997

 Remote Sensing for 3-dimensional Image Modeling,

 Stereo-Matching

1998 – 2015

 Digital Watermarking, Multimedia Forensics,

 Steganography/Steganalysis

2016 –2020

Image and Video Forensics based on Deep Learning Artificial Intelligence

 

Steganography and Steganalysis based on Deep Neural Network

 

Digital Watermarking based on Deep Learning Artificial Intelligence for 2D/3D Image and Video, 3D Graphic Model, and 3D Printer Output

   2021 - Present

Image and Video Forensics

 

 Research interests cover the following topics

 Topics

 Description

Deep Learning Artificial Intelligence

Various Deep Learning technologies are investigated to derive the digital watermarking and forensic solutions.

 Digital

Watermarking

 We have developed a  robust watermarking and fingerprinting algorithm for image and video. The Video Watermarking Software which use ‘Digital Watermarking Engine’ we developed was selected as one of  40 national key technologies in 2007.

 Computational

 Forensics

 We are now investigating multimedia forensics. Particularly image and video forensics are our main concern. Various fundamental technologies have been investigated and developed for the image and video forensics.

 Steganography

 / Steganalysis

 We have investigated secret communication and the monitoring technologies on the internet.

 Deepfake

 Deepfake detection based on artificial intelligent technology, such as GAN, CNN is intensively investigated due to the various research requirements.