214 citations · 425 across the 8 of their papers we have counts for
6 papers · 1 filter
DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms
Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon +2
In this article, we aim to detect the double compression of MPEG-4, a universal video codec that is built into surveillance systems and shooting devices. Double compression is acco…
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…
From Attack to Protection: Leveraging Watermarking Attack Network for Advanced Add-on Watermarking
Seung-Hun Nam, Jihyeon Kang, Daesik Kim +2
Multi-bit watermarking (MW) has been designed to enhance resistance against watermarking attacks, such as signal processing operations and geometric distortions. Various benchmark…
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…
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…