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

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

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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