214 citations · 427 across the 8 of their papers we have counts for
5 papers · 1 filter
Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
Minseok Yoon, Seung-Hun Nam, In-Jae Yu +3
With the advance in user-friendly and powerful video editing tools, anyone can easily manipulate videos without leaving prominent visual traces. Frame-rate up-conversion (FRUC), a…
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery
Seung-Hun Nam, Wonhyuk Ahn, In-Jae Yu +3
Seam carving is a representative content-aware image retargeting approach to adjust the size of an image while preserving its visually prominent content. To maintain visually impor…
Convolutional Neural Network Architecture for Recovering Watermark Synchronization
Wook-Hyung Kim, Jong-Uk Hou, Seung-Min Mun +1
Since real-time contents can be captured and downloaded very easily, copyright infringement has become a serious problem. In order to reduce the loss caused by copyright infringeme…
Robust curvelet domain watermarking technique that preserves cleanness of high quality images
Wook-Hyung Kim, Seung-Hun Nam, Ji-Hyeon Kang +1
Watermarking inserts invisible data into content to protect copyright. The embedded information provides proof of authorship and facilitates tracking illegal distribution, etc. Cur…
A Robust Blind Watermarking Using Convolutional Neural Network
Seung-Min Mun, Seung-Hun Nam, Han-Ul Jang +2
This paper introduces a blind watermarking based on a convolutional neural network (CNN). We propose an iterative learning framework to secure robustness of watermarking. One loop…