@inproceedings{0179746d7d7f4cc08bd7214f3a0efdae,
title = "A new database and protocol for image reuse detection",
abstract = "The use of visual elements of an existing image while creating new ones is a commonly observed phenomenon in digital artworks. The practice, which is referred to as image reuse, is not an easy one to detect even with the human eye, less so using computational methods. In this paper, we study the automatic image reuse detection in digital artworks as an image retrieval problem. First, we introduce a new digital art database (BODAIR) that consists of a set of digital artworks that re-use stock images. Then, we evaluate a set of existing image descriptors for image reuse detection, providing a baseline for the detection of image reuse in digital artworks. Finally, we propose an image retrieval method tailored for reuse detection, by combining saliency maps with the image descriptors.",
keywords = "BODAIR, DeviantArt, Digital art, Feature extraction, Image database, Image retrieval, Image reuse",
author = "Furkan Isikdogan and Ilhan Adıyaman and Salah, {Alkım Almila Akdağ} and Salah, {Albert Ali}",
year = "2016",
month = jan,
day = "1",
doi = "10.1007/978-3-319-46604-0_62",
language = "English",
isbn = "9783319466033",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "903--916",
editor = "Gang Hua and Herv{\'e} J{\'e}gou",
booktitle = "Computer Vision - ECCV 2016 Workshops, Proceedings",
address = "Germany",
note = "14th European Conference on Computer Vision, ECCV 2016 ; Conference date: 08-10-2016 Through 16-10-2016",
}