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.
Cite
Text
Isikdogan et al. "A New Database and Protocol for Image Reuse Detection." European Conference on Computer Vision Workshops, 2016. doi:10.1007/978-3-319-46604-0_62Markdown
[Isikdogan et al. "A New Database and Protocol for Image Reuse Detection." European Conference on Computer Vision Workshops, 2016.](https://mlanthology.org/eccvw/2016/isikdogan2016eccvw-new/) doi:10.1007/978-3-319-46604-0_62BibTeX
@inproceedings{isikdogan2016eccvw-new,
title = {{A New Database and Protocol for Image Reuse Detection}},
author = {Isikdogan, Furkan and Adiyaman, Ilhan and Salah, Alkim Almila Akdag and Salah, Albert Ali},
booktitle = {European Conference on Computer Vision Workshops},
year = {2016},
pages = {903-916},
doi = {10.1007/978-3-319-46604-0_62},
url = {https://mlanthology.org/eccvw/2016/isikdogan2016eccvw-new/}
}