UM  > 科技學院
Deep Fusion Network for Splicing Forgery Localization
Liu, Bo; Pun, Chi-Man
2019-01-29
Conference NameEuropean Conference on Computer Vision
Source PublicationECCV 2018: Computer Vision – ECCV 2018 Workshops
Pages237-251
Conference Date2018-8-14
Conference PlaceMunich, Germany
Abstract

Digital splicing is a common type of image forgery: some regions of an image are replaced with contents from other images. To locate altered regions in a tampered picture is a challenging work because the difference is unknown between the altered regions and the original regions and it is thus necessary to search the large hypothesis space for a convincing result. In this paper, we proposed a novel deep fusion network to locate tampered area by tracing its border. A group of deep convolutional neural networks called Base-Net were firstly trained to response the certain type of splicing forgery respectively. Then, some layers of the Base-Net are selected and combined as a deep fusion neural network (Fusion-Net). After fine-tuning by a very small number of pictures, Fusion-Net is able to discern whether an image block is synthesized from different origins. Experiments on the benchmark datasets show that our method is effective in various situations and outperform state-of-the-art methods.

KeywordImage Forensics Splicing Forgery Detection Forgery Localization Deep Convolutional Network Fusion Network
URLView the original
Language英语
Fulltext Access
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversity of Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Liu, Bo,Pun, Chi-Man. Deep Fusion Network for Splicing Forgery Localization[C],2019:237-251.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu, Bo]'s Articles
[Pun, Chi-Man]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Bo]'s Articles
[Pun, Chi-Man]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Bo]'s Articles
[Pun, Chi-Man]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.