@inproceedings{9e7a8b26a44845bdbda92426cc211892,
title = "Learning Document Graphs with Attention for Image Manipulation Detection",
abstract = "Detecting manipulations in images is becoming increasingly important for combating misinformation and forgery. While recent advances in computer vision have lead to improved methods for detecting spliced images, most state-of-the-art methods fail when applied to images containing mostly text, such as images of documents. We propose a deep-learning method for detecting manipulations in images of documents which leverages the unique structured nature of these images in comparison with those of natural scenes. Specifically, we re-frame the classic image splice detection problem as a node classification problem, in which Optical Character Recognition (OCR) bounding boxes form nodes and edges are added according to a text-specific distance heuristic. We propose a Variational Autoencoder (VAE)-based embedding algorithm, which when combined with a graph neural network with attention, outperforms both a state-of-the-art image splice detection method and a document-specific method.",
keywords = "Graph Neural Networks, Manipulation detection, Variational auto-encoders",
author = "Hailey James and Otkrist Gupta and Dan Raviv",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 3rd International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2022 ; Conference date: 01-06-2022 Through 03-06-2022",
year = "2022",
doi = "https://doi.org/10.1007/978-3-031-09037-0_22",
language = "الإنجليزيّة",
isbn = "9783031090363",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "263--274",
editor = "{El Yacoubi}, Moun{\^i}m and Eric Granger and Yuen, {Pong Chi} and Umapada Pal and Nicole Vincent",
booktitle = "Pattern Recognition and Artificial Intelligence - 3rd International Conference, ICPRAI 2022, Proceedings",
address = "ألمانيا",
}