Abstract
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny solutions, which aim to combat misinformation through doctored visual media. Nonetheless, most recent image phylogeny solutions cannot properly address cases of forged composite images with multiple donors, an area known as multiple parenting phylogeny (MPP). This paper presents a preliminary undirected graph construction solution for MPP, without any strict assumptions. The algorithm is underpinned by robust image representative keypoints and different geometric consistency checks among matching regions in both images to provide regions of interest for direct comparison. The paper introduces a novel technique to geometrically filter the most promising matches as well as to aid in the shared region localization task. The strength of the approach is corroborated by experiments with real-world cases, with and without image distractors (unrelated cases).
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings |
Publisher | IEEE Computer Society |
Pages | 1517-1521 |
Number of pages | 5 |
ISBN (Electronic) | 9781509021758 |
DOIs | |
State | Published - Jul 2 2017 |
Externally published | Yes |
Event | 24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China Duration: Sep 17 2017 → Sep 20 2017 |
Publication series
Name | Proceedings - International Conference on Image Processing, ICIP |
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Volume | 2017-September |
ISSN (Print) | 1522-4880 |
Conference
Conference | 24th IEEE International Conference on Image Processing, ICIP 2017 |
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Country/Territory | China |
City | Beijing |
Period | 09/17/17 → 09/20/17 |
Funding
This material is based on research sponsored by DARPA and Air Force Research Laboratory (AFRL) under agreement number FA8750-16-2-0173. Hardware support was generously provided by the NVIDIA Corporation. We also thank the financial support of FAPESP (Grant #2015/19222-9), CAPES (DeepEyes Grant) and CNPq (Grant #304472 /2015-8).
Keywords
- Image Phylogeny
- Media Forensics
- Undirected Phylogeny Graph