Title
Image Provenance Analysis
Document Type
Book Chapter
Publication Date
4-2022
Publication Title
Multimedia Forensics
Pages
389-432
Publisher Name
Springer
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
@incollection{moreira_chapter_2022, author={Daniel Moreira and William Theisen and Walter Scheirer and Aparna Bharati and Joel Brogan and Anderson Rocha}, editor={Husrev Taha Sencar and Luisa Verdoliva and Nasir Memon}, title={Image Provenance Analysis}, booktitle={Multimedia Forensics}, year={2022}, publisher={Springer} pages={389--432} }
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