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The PS-Battles Dataset - an Image Collection for Image Manipulation Detection

Heller, Silvan and Rossetto, Luca and Schuldt, Heiko. (2018) The PS-Battles Dataset - an Image Collection for Image Manipulation Detection.

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Official URL: https://edoc.unibas.ch/68626/

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Abstract

The boost of available digital media has led to asignificant increase in derivative work. With tools for manipulating objects becoming more and more mature, it can bevery difficult to determine whether one piece of media was derived from another one or tampered with. As derivations can be done with malicious intent, there is an urgent need for reliable and easily usable tampering detection methods. However, even media considered semantically untampered by humans might have already undergone compression steps or light post-processing, making automated detection of tampering susceptible to false positives. In this paper, we present the PS-Battles dataset which is gathered from a large community of image manipulation enthusiasts and provides a basis for media derivation and manipulation detection in the visual domain. The dataset consists of 102’028 images grouped into 11’142 subsets, each containing the original image as well as a varying number of manipulated derivatives.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Heller, Silvan and Rossetto, Luca
Item Type:Working Paper
Publisher:arXiv
Note:Publication type according to Uni Basel Research Database: Discussion paper / Internet publication
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Last Modified:16 Mar 2020 16:17
Deposited On:16 Mar 2020 16:17

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