Document Type
Book Chapter
Publication Date
4-2-2022
Publication Title
Multimedia Forensics
Pages
389-432
Publisher Name
Springer Singapore
Publisher Location
Singapore
Abstract
The literature of multimedia forensics is mainly dedicated to the analysis of single assets (such as sole image or video files), aiming at individually assessing their authenticity. Different from this, image provenance analysis is devoted to the joint examination of multiple assets, intending to ascertain their history of edits, by evaluating pairwise relationships. Each relationship, thus, expresses the probability of one asset giving rise to the other, through either global or local operations, such as data compression, resizing, color-space modifications, content blurring, and content splicing. The principled combination of these relationships unveils the provenance of the assets, also constituting an important forensic tool for authenticity verification. This chapter introduces the problem of provenance analysis, discussing its importance and delving into the state-of-the-art techniques to solve it.
Identifier
978-981-16-7621-5
Recommended Citation
Moreira, Daniel; Theisen, William; Scheirer, Walter; Bharati, Aparna; Brogan, Joel; and Rocha, Anderson. Image Provenance Analysis. Multimedia Forensics, , : 389-432, 2022. Retrieved from Loyola eCommons, Computer Science: Faculty Publications and Other Works, http://dx.doi.org/10.1007/978-981-16-7621-5_15
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Statement
© The Author(s), 2022.
Comments
Author Posting © The Author(s) 2022. This chapter is posted here by permission of Springer Singapore for personal use and redistribution. This chapter was published open access in Multimedia Forensics, Edited by Husrev Taha Sencar, Luisa Verdoliva, & Nasir Memon, pp. 389-432. https://doi.org/10.4018/978-1-7998-3744-2.ch006