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Proceedings Paper

Exploring image dependencies: a new challenge in image forensics
Author(s): A. De Rosa; F. Uccheddu; A. Costanzo; A. Piva; M. Barni
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Paper Abstract

Though the current state of the art of image forensics permits to acquire very interesting information about image history, all the instruments developed so far focus on the analysis of single images. It is the aim of this paper to propose a new approach that moves the forensics analysis further, by considering groups of images instead of single images. The idea is to discover dependencies among a group of images representing similar or equal contents in order to construct a graph describing image relationships. Given the pronounced effect that images posted on the Web have on opinions and bias in the networked age we live in, such an analysis could be extremely useful for understanding the role of pictures in the opinion forming process. We propose a theoretical framework for the analysis of image dependencies and describe a simple system putting the theoretical principles in practice. The performance of the proposed system are evaluated on a few practical examples involving both images created and processed in a controlled way, and images downloaded from the web.

Paper Details

Date Published: 27 January 2010
PDF: 12 pages
Proc. SPIE 7541, Media Forensics and Security II, 75410X (27 January 2010); doi: 10.1117/12.840235
Show Author Affiliations
A. De Rosa, Univ. degli Studi di Firenze (Italy)
F. Uccheddu, Univ. degli Studi di Firenze (Italy)
A. Costanzo, Univ. degli Studi di Siena (Italy)
A. Piva, Univ. degli Studi di Firenze (Italy)
M. Barni, Univ. degli Studi di Siena (Italy)


Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp, Editor(s)

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